Mona El‐Gamil

10.2k total citations · 3 hit papers
41 papers, 6.6k citations indexed

About

Mona El‐Gamil is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Mona El‐Gamil has authored 41 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 21 papers in Oncology and 18 papers in Molecular Biology. Recurrent topics in Mona El‐Gamil's work include Immunotherapy and Immune Responses (31 papers), CAR-T cell therapy research (19 papers) and T-cell and B-cell Immunology (14 papers). Mona El‐Gamil is often cited by papers focused on Immunotherapy and Immune Responses (31 papers), CAR-T cell therapy research (19 papers) and T-cell and B-cell Immunology (14 papers). Mona El‐Gamil collaborates with scholars based in United States, Israel and France. Mona El‐Gamil's co-authors include Paul F. Robbins, Steven A. Rosenberg, Yong F. Li, Paul Polakis, Bonnee Rubinfeld, Iris Albert, Emilio Porfiri, Mark E. Dudley, Yutaka Kawakami and Yong‐Chen Lu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Mona El‐Gamil

41 papers receiving 6.4k citations

Hit Papers

align trajectories

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.

Stabilization of β-Catenin by Genetic Defects in Melanoma Cell Lines

1997 1.1k citations Paul F. Robbins, Mona El‐Gamil et al. profile →
Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells

2013 806 citations Paul F. Robbins, Yong‐Chen Lu et al. Nature Medicine profile →
A Pilot Trial Using Lymphocytes Genetically Engineered with an NY-ESO-1–Reactive T-cell Receptor: Long-term Follow-up and Correlates with Response

2014 585 citations Paul F. Robbins, Sadik H. Kassim et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mona El‐Gamil United States	29	4.4k	4.0k	2.8k	938	481	41	6.6k
Maria R. Parkhurst United States	37	7.1k 1.6×	6.0k 1.5×	3.1k 1.1×	1.1k 1.2×	772 1.6×	64	9.2k
Thomas Wölfel Germany	32	5.1k 1.2×	2.8k 0.7×	2.8k 1.0×	438 0.5×	612 1.3×	70	6.4k
Christophe Lurquin Belgium	32	7.3k 1.7×	3.3k 0.8×	4.7k 1.7×	785 0.8×	764 1.6×	45	8.9k
Yong F. Li United States	27	4.3k 1.0×	4.7k 1.2×	1.4k 0.5×	835 0.9×	419 0.9×	43	5.9k
Jared J. Gartner United States	30	4.3k 1.0×	5.2k 1.3×	2.3k 0.8×	733 0.8×	628 1.3×	60	6.9k
Bernard Lethé Belgium	28	5.0k 1.1×	2.1k 0.5×	3.1k 1.1×	466 0.5×	465 1.0×	39	6.0k
Ken‐ichi Hanada United States	29	2.6k 0.6×	2.1k 0.5×	1.9k 0.7×	430 0.5×	204 0.4×	56	4.9k
Roberta Mortarini Italy	40	2.9k 0.7×	2.0k 0.5×	2.1k 0.8×	316 0.3×	341 0.7×	100	4.9k
Matthew J. Scanlan United States	36	4.2k 1.0×	2.5k 0.6×	4.3k 1.6×	468 0.5×	1.4k 2.9×	50	7.3k
Kathleen E. Morton United States	17	6.2k 1.4×	6.0k 1.5×	1.9k 0.7×	1.4k 1.5×	300 0.6×	19	8.8k

Countries citing papers authored by Mona El‐Gamil

Since Specialization

Citations

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

Fields of papers citing papers by Mona El‐Gamil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona El‐Gamil. 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 Mona El‐Gamil. The network helps show where Mona El‐Gamil may publish in the future.

Co-authorship network of co-authors of Mona El‐Gamil

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

All Works

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20 of 20 papers shown

Prickett, Todd D., Jessica S. Crystal, Cyrille J. Cohen, et al.. (2016). Durable Complete Response from Metastatic Melanoma after Transfer of Autologous T Cells Recognizing 10 Mutated Tumor Antigens. Cancer Immunology Research. 4(8). 669–678. 88 indexed citations

Cohen, Cyrille J., Jared J. Gartner, Miryam Horovitz‐Fried, et al.. (2015). Isolation of neoantigen-specific T cells from tumor and peripheral lymphocytes. Journal of Clinical Investigation. 125(10). 3981–3991. 275 indexed citations

Lu, Yong‐Chen, Xin Yao, Jessica S. Crystal, et al.. (2014). Efficient Identification of Mutated Cancer Antigens Recognized by T Cells Associated with Durable Tumor Regressions. Clinical Cancer Research. 20(13). 3401–3410. 304 indexed citations

Robbins, Paul F., Sadik H. Kassim, Thai L.N. Tran, et al.. (2014). A Pilot Trial Using Lymphocytes Genetically Engineered with an NY-ESO-1–Reactive T-cell Receptor: Long-term Follow-up and Correlates with Response. Clinical Cancer Research. 21(5). 1019–1027. 585 indexed citations breakdown →

Robbins, Paul F., Yong‐Chen Lu, Mona El‐Gamil, et al.. (2013). Mining exomic sequencing data to identify mutated antigens recognized by adoptively transferred tumor-reactive T cells. Nature Medicine. 19(6). 747–752. 806 indexed citations breakdown →

Eynde, Benoı̂t J. Van den, Pierre G. Coulie, Yong F. Li, et al.. (2012). Characterization of T-cell Receptors Directed Against HLA-A*01-restricted and C*07-restricted Epitopes of MAGE-A3 and MAGE-A12. Journal of Immunotherapy. 35(9). 680–688. 6 indexed citations

Huang, Jianping, Qiong J. Wang, Shicheng Yang, et al.. (2011). Irradiation Enhances Human T-cell Function by Upregulating CD70 Expression on Antigen-presenting Cells In Vitro. Journal of Immunotherapy. 34(4). 327–335. 28 indexed citations

Robbins, Paul F., Yong F. Li, Mona El‐Gamil, et al.. (2008). Single and Dual Amino Acid Substitutions in TCR CDRs Can Enhance Antigen-Specific T Cell Functions. The Journal of Immunology. 180(9). 6116–6131. 252 indexed citations

Wargo, Jennifer A., Paul F. Robbins, Yong Li, et al.. (2008). Recognition of NY-ESO-1+ tumor cells by engineered lymphocytes is enhanced by improved vector design and epigenetic modulation of tumor antigen expression. Cancer Immunology Immunotherapy. 58(3). 383–394. 74 indexed citations

10.

Cohen, Cyrille J., Yong F. Li, Mona El‐Gamil, et al.. (2007). Enhanced Antitumor Activity of T Cells Engineered to Express T-Cell Receptors with a Second Disulfide Bond. Cancer Research. 67(8). 3898–3903. 276 indexed citations

11.

Huang, Jianping, Keith Kerstann, Mojgan Ahmadzadeh, et al.. (2006). Modulation by IL-2 of CD70 and CD27 Expression on CD8+ T Cells: Importance for the Therapeutic Effectiveness of Cell Transfer Immunotherapy. The Journal of Immunology. 176(12). 7726–7735. 122 indexed citations

12.

Wang, Ena, Sonia Voiculescu, I. Caroline Le Poole, et al.. (2006). Clonal Persistence and Evolution During a Decade of Recurrent Melanoma. Journal of Investigative Dermatology. 126(6). 1372–1377. 39 indexed citations

13.

Huang, Jianping, Mona El‐Gamil, Mark E. Dudley, et al.. (2004). T Cells Associated with Tumor Regression Recognize Frameshifted Products of the CDKN2A Tumor Suppressor Gene Locus and a Mutated HLA Class I Gene Product. The Journal of Immunology. 172(10). 6057–6064. 80 indexed citations

14.

Robbins, Paul F., Mark E. Dudley, John R. Wunderlich, et al.. (2004). Cutting Edge: Persistence of Transferred Lymphocyte Clonotypes Correlates with Cancer Regression in Patients Receiving Cell Transfer Therapy. The Journal of Immunology. 173(12). 7125–7130. 375 indexed citations

15.

Harada, Mamoru, Yong F. Li, Mona El‐Gamil, et al.. (2001). Melanoma-Reactive CD8 + T Cells Recognize a Novel Tumor Antigen Expressed in a Wide Variety of Tumor Types. Journal of Immunotherapy. 24(4). 323–333. 27 indexed citations

16.

Bonvini, Paolo, Mona El‐Gamil, Paul F. Robbins, et al.. (2000). Nuclear β-catenin displays GSK-3β- and APC-independent proteasome sensitivity in melanoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1495(3). 308–318. 12 indexed citations

17.

Bloom, Matthew B., Donna Perry-Lalley, Paul F. Robbins, et al.. (1997). Identification of Tyrosinase-related Protein 2 as a Tumor Rejection Antigen for the B16 Melanoma. The Journal of Experimental Medicine. 185(3). 453–460. 347 indexed citations

18.

Robbins, Paul F., Mona El‐Gamil, Yongfeng Li, et al.. (1996). A mutated beta-catenin gene encodes a melanoma-specific antigen recognized by tumor infiltrating lymphocytes.. The Journal of Experimental Medicine. 183(3). 1185–1192. 438 indexed citations

19.

Pratt, Karen R., David H. Sachs, Sharon Germana, et al.. (1990). Class II genes of miniature swine. Immunogenetics. 31(1). 1–6. 18 indexed citations

20.

Sachs, David H., Sharon Germana, Mona El‐Gamil, et al.. (1988). Class II genes of miniature swine. Immunogenetics. 28(1). 22–29. 46 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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