Mercy Gohil

3.9k total citations · 1 hit paper
15 papers, 530 citations indexed

About

Mercy Gohil is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Mercy Gohil has authored 15 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Immunology. Recurrent topics in Mercy Gohil's work include CAR-T cell therapy research (6 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Mercy Gohil is often cited by papers focused on CAR-T cell therapy research (6 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). Mercy Gohil collaborates with scholars based in United States, France and Australia. Mercy Gohil's co-authors include M. Celeste Simon, Martha S. Jordan, Gary A. Koretzky, E. John Wherry, Anja Runge, David M. Adelman, Diana L. Ramírez‐Bergeron, Matthew E. Johnson, Shannon A. Carty and Andrew D. Wells and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Immunity.

In The Last Decade

Mercy Gohil

14 papers receiving 523 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells

2023 104 citations Sangya Agarwal, M. Ángela Aznar et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mercy Gohil United States	8	260	198	184	83	76	15	530
Yasin Uzun United States	10	290 1.1×	150 0.8×	135 0.7×	78 0.9×	102 1.3×	19	479
Bryan Zimdahl United States	8	359 1.4×	126 0.6×	220 1.2×	91 1.1×	50 0.7×	10	600
Priya Chatterji United States	11	348 1.3×	165 0.8×	209 1.1×	195 2.3×	28 0.4×	16	590
Érika Cosset Switzerland	12	289 1.1×	111 0.6×	122 0.7×	128 1.5×	99 1.3×	24	526
Chelsea Hope United States	10	193 0.7×	169 0.9×	205 1.1×	107 1.3×	103 1.4×	18	475
Lloyd Pereira Australia	17	458 1.8×	76 0.4×	236 1.3×	110 1.3×	41 0.5×	25	659
Arnaud Descot Germany	9	289 1.1×	74 0.4×	152 0.8×	90 1.1×	114 1.5×	9	473
Robert Seed United Kingdom	13	236 0.9×	136 0.7×	192 1.0×	113 1.4×	40 0.5×	18	547
Tapan Ganguly United States	12	289 1.1×	57 0.3×	132 0.7×	73 0.9×	29 0.4×	23	543
Sylvie Maubant France	8	261 1.0×	67 0.3×	103 0.6×	69 0.8×	78 1.0×	20	425

Countries citing papers authored by Mercy Gohil

Since Specialization

Citations

This map shows the geographic impact of Mercy Gohil'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 Mercy Gohil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercy Gohil more than expected).

Fields of papers citing papers by Mercy Gohil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mercy Gohil. 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 Mercy Gohil. The network helps show where Mercy Gohil may publish in the future.

Co-authorship network of co-authors of Mercy Gohil

This figure shows the co-authorship network connecting the top 25 collaborators of Mercy Gohil. A scholar is included among the top collaborators of Mercy Gohil 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 Mercy Gohil. Mercy Gohil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Engel, Nils W., Israel Steinfeld, Daniel Ryan, et al.. (2025). Quadruple adenine base–edited allogeneic CAR T cells outperform CRISPR/Cas9 nuclease–engineered T cells. Proceedings of the National Academy of Sciences. 122(20). e2427216122–e2427216122. 5 indexed citations

Jain, Achin, Mercy Gohil, Edward Pequignot, et al.. (2024). HARNESSING POTENT NAÏVE LIKE T CELLS FOR PRECISION CAR T MANUFACTURING. Cytotherapy. 26(6). S135–S135. 1 indexed citations

Agarwal, Sangya, M. Ángela Aznar, Andrew J. Rech, et al.. (2023). Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells. Immunity. 56(10). 2388–2407.e9. 104 indexed citations breakdown →

Agarwal, Sangya, Tong Da, Shunichiro Kuramitsu, et al.. (2022). Abstract 5571: Disruption of cell-intrinsic checkpoint regulator CTLA-4 in CD19 directed CAR T cells provides clinical efficacy in CLL patients. Cancer Research. 82(12_Supplement). 5571–5571. 2 indexed citations

Xu, Jun, Mercy Gohil, Edward A. Stadtmauer, et al.. (2020). Characterization of autologous T cells engineered to express NY-ESO-1 TCR with multiplexed CRISPR/Cas9 editing (NYCE T Cells). Cytotherapy. 22(5). S35–S36. 2 indexed citations

Cummins, Katherine D., January Salas-McKee, Irina Kulikovskaya, et al.. (2019). Optimization of CRISPR-Cas9 knock-out of CD33 in human hematopoietic stem / progenitor cells for allogeneic transplantation in patients with acute myeloid leukemia. Cytotherapy. 21(5). S16–S17. 3 indexed citations

Carty, Shannon A., Mercy Gohil, Lauren B. Banks, et al.. (2017). The Loss of TET2 Promotes CD8+ T Cell Memory Differentiation. The Journal of Immunology. 200(1). 82–91. 130 indexed citations

Guan, Peng, Mercy Gohil, Moyar Q. Ge, et al.. (2017). mTORC2 regulates multiple aspects of NKT‐cell development and function. European Journal of Immunology. 47(3). 516–526. 18 indexed citations

Carty, Shannon A., Mercy Gohil, Lauren B. Banks, et al.. (2016). The Methylcytosine Dioxygenase TET2 Regulates CD8+ T Cell Memory Differentiation. Blood. 128(22). 3692–3692. 1 indexed citations

10.

Krock, Bryan L., T.S. Karin Eisinger‐Mathason, Jessica E.S. Shay, et al.. (2015). The aryl hydrocarbon receptor nuclear translocator is an essential regulator of murine hematopoietic stem cell viability. Blood. 125(21). 3263–3272. 35 indexed citations

11.

Eisinger‐Mathason, T.S. Karin, Vera Mucaj, Michael S. Nakazawa, et al.. (2015). Deregulation of the Hippo pathway in soft-tissue sarcoma promotes FOXM1 expression and tumorigenesis. Proceedings of the National Academy of Sciences. 112(26). E3402–11. 81 indexed citations

12.

Carty, Shannon A., Mercy Gohil, Gary A. Koretzky, & Martha S. Jordan. (2014). TET2 Regulates CD8+ T Cell Differentiation. Blood. 124(21). 1423–1423.

13.

Burns, Jeremy C., et al.. (2011). The SLP-76 Src Homology 2 Domain Is Required for T Cell Development and Activation. The Journal of Immunology. 187(9). 4459–4466. 9 indexed citations

14.

Smith‐Garvin, Jennifer E., Jeremy C. Burns, Mercy Gohil, et al.. (2010). T-cell receptor signals direct the composition and function of the memory CD8+ T-cell pool. Blood. 116(25). 5548–5559. 56 indexed citations

15.

Ramírez‐Bergeron, Diana L., Anja Runge, David M. Adelman, Mercy Gohil, & M. Celeste Simon. (2006). HIF-Dependent Hematopoietic Factors Regulate the Development of the Embryonic Vasculature. Developmental Cell. 11(1). 81–92. 83 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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