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Nishith Mohan

4 papers hereh-index 14 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.AP4
same name
  • Nishith Mohan — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedOn a mathematical model for tissue regeneration

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

math.AP2026

Global classical solutions for a metastatic cancer invasion model with negative haptotaxis

Nishith Mohan, Dimitrios Katsaounis

We analyze a coupled PDE-ODE model for metastatic cancer invasion involving epithelial-like and mesenchymal-like cancer cells, cancer-associated fibroblasts (CAFs), the transformin…

math.AP2025

Global existence of weak solutions to a tissue regeneration model

Nishith Mohan, Christina Surulescu

We study a cross-diffusion model for tissue regeneration which involves the dynamics of human mesenchymal stem cells interacting with chondrocytes in a medium containing a differen…

math.AP2025

Global existence of weak solutions to a cell migration and (de)differentiation model with double haptotaxis in the context of tissue regeneration

Nishith Mohan, Christina Surulescu

We study a model for the spread and (de)differentiation of mesenchymal stem cells and chondrocytes in a scaffold whose fibers are coated with hyaluron. The chondrocytes produce new…

math.AP2024★ 2 cited

On a mathematical model for tissue regeneration

Shimi Chettiparambil Mohanan, Nishith Mohan, Christina Surulescu

We propose a PDE-ODE model for tissue regeneration, obtained by parabolic upscaling from kinetic transport equations written for the mesoscopic densities of mesenchymal stem cells…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.