Esha Mathew

803 total citations
10 papers, 587 citations indexed

About

Esha Mathew is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Esha Mathew has authored 10 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Esha Mathew's work include Pancreatic and Hepatic Oncology Research (9 papers), Phagocytosis and Immune Regulation (4 papers) and Hedgehog Signaling Pathway Studies (3 papers). Esha Mathew is often cited by papers focused on Pancreatic and Hepatic Oncology Research (9 papers), Phagocytosis and Immune Regulation (4 papers) and Hedgehog Signaling Pathway Studies (3 papers). Esha Mathew collaborates with scholars based in United States, China and Slovakia. Esha Mathew's co-authors include Marina Pasca di Magliano, Yaqing Zhang, Kevin T. Kane, Andrew D. Rhim, Dongjun Li, Diane M. Simeone, Ashley Velez-Delgado, Flor Mendez, Gregory L. Beatty and Benjamin L. Allen and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Gut.

In The Last Decade

Esha Mathew

9 papers receiving 586 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Esha Mathew United States	7	457	260	216	83	59	10	587
Abraham V. Nguyen United States	2	396 0.9×	393 1.5×	175 0.8×	79 1.0×	32 0.5×	2	617
Yanique Rattigan United States	3	360 0.8×	208 0.8×	239 1.1×	189 2.3×	58 1.0×	6	594
Qitai Zhao China	13	310 0.7×	334 1.3×	249 1.2×	152 1.8×	43 0.7×	31	650
Budiman Kharma Japan	10	335 0.7×	273 1.1×	165 0.8×	67 0.8×	38 0.6×	12	577
Christian Eisen Germany	9	378 0.8×	310 1.2×	216 1.0×	69 0.8×	49 0.8×	11	598
Girish Mallya Udupi Ireland	3	550 1.2×	508 2.0×	211 1.0×	97 1.2×	42 0.7×	4	767
Brian DeCant United States	10	295 0.6×	107 0.4×	227 1.1×	87 1.0×	66 1.1×	13	458
Gemma Domínguez Spain	6	357 0.8×	170 0.7×	274 1.3×	137 1.7×	26 0.4×	7	552
Victoria M. Kim United States	8	236 0.5×	116 0.4×	166 0.8×	90 1.1×	30 0.5×	9	416
Kevin T. Kane United States	6	210 0.5×	71 0.3×	174 0.8×	77 0.9×	44 0.7×	7	349

Countries citing papers authored by Esha Mathew

Since Specialization

Citations

This map shows the geographic impact of Esha Mathew's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Esha Mathew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esha Mathew more than expected).

Fields of papers citing papers by Esha Mathew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esha Mathew. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Esha Mathew. The network helps show where Esha Mathew may publish in the future.

Co-authorship network of co-authors of Esha Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of Esha Mathew. A scholar is included among the top collaborators of Esha Mathew based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Esha Mathew. Esha Mathew is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Mathew, Esha, et al.. (2024). Metastatic papillary thyroid carcinoma in the soft tissue of the breast in a male patient: A case report. Oncology Letters. 29(2). 95–95.

2.

Zhang, Yaqing, Wei Yan, Esha Mathew, et al.. (2017). Epithelial-Myeloid cell crosstalk regulates acinar cell plasticity and pancreatic remodeling in mice. eLife. 6. 31 indexed citations

3.

Mathew, Esha, Paloma E. Garcia, Kevin T. Kane, et al.. (2016). Mesenchymal Stem Cells Promote Pancreatic Tumor Growth by Inducing Alternative Polarization of Macrophages. Neoplasia. 18(3). 142–151. 97 indexed citations

4.

Zhang, Yaqing, Ashley Velez-Delgado, Esha Mathew, et al.. (2016). Myeloid cells are required for PD-1/PD-L1 checkpoint activation and the establishment of an immunosuppressive environment in pancreatic cancer. Gut. 66(1). 124–136. 242 indexed citations

5.

Zhang, Yaqing, Wei Yan, Esha Mathew, et al.. (2015). Abstract PR11: CD4+ T lymphocyte ablation prevents pancreatic carcinogenesis in mice. Cancer Research. 75(13_Supplement). PR11–PR11. 4 indexed citations

6.

Zhang, Yaqing, Wei Yan, Esha Mathew, et al.. (2014). CD4+ T Lymphocyte Ablation Prevents Pancreatic Carcinogenesis in Mice. Cancer Immunology Research. 2(5). 423–435. 69 indexed citations

7.

Mathew, Esha, Meredith A. Collins, Maite G. Fernández‐Barrena, et al.. (2014). The Transcription Factor GLI1 Modulates the Inflammatory Response during Pancreatic Tissue Remodeling. Journal of Biological Chemistry. 289(40). 27727–27743. 38 indexed citations

8.

Zhang, Yaqing, et al.. (2014). Epithelial Notch signaling is a limiting step for pancreatic carcinogenesis. BMC Cancer. 14(1). 862–862. 28 indexed citations

9.

Mathew, Esha, Yaqing Zhang, Alexander M. Holtz, et al.. (2014). Dosage-Dependent Regulation of Pancreatic Cancer Growth and Angiogenesis by Hedgehog Signaling. Cell Reports. 9(2). 484–494. 77 indexed citations

10.

Zhang, Yaqing, Wei Yan, Filip Bednar, et al.. (2014). Abstract IA12: Oncogenic KRAS and the inflammatory microenvironment in pancreatic cancer. Molecular Cancer Research. 12(12_Supplement). IA12–IA12. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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