Martine Darwish

1.9k total citations
16 papers, 444 citations indexed

About

Martine Darwish is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Martine Darwish has authored 16 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology. Recurrent topics in Martine Darwish's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers) and HER2/EGFR in Cancer Research (5 papers). Martine Darwish is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers) and HER2/EGFR in Cancer Research (5 papers). Martine Darwish collaborates with scholars based in United States, France and China. Martine Darwish's co-authors include Craig Blanchette, Christopher M. Rose, Whitney Shatz-Binder, Richard Vandlen, Yu Kong, John M. Greally, Steve Lianoglou, Ashley Cass, Devin B. Tesar and Richard Bourgon and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Analytical Chemistry.

In The Last Decade

Martine Darwish

15 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martine Darwish United States 9 232 200 173 98 58 16 444
Koh Amano Japan 10 347 1.5× 85 0.4× 202 1.2× 141 1.4× 51 0.9× 11 525
Maya Datt Joshi United States 9 479 2.1× 116 0.6× 179 1.0× 143 1.5× 20 0.3× 14 644
Simone Diermeier‐Daucher Germany 10 171 0.7× 96 0.5× 139 0.8× 54 0.6× 11 0.2× 13 350
Qifeng Qiu United States 8 578 2.5× 97 0.5× 179 1.0× 28 0.3× 62 1.1× 11 709
Hanne Merritt United States 8 418 1.8× 255 1.3× 135 0.8× 63 0.6× 12 0.2× 13 532
Peter Maimonis United States 11 331 1.4× 252 1.3× 294 1.7× 159 1.6× 11 0.2× 19 599
Khalil Bouayadi France 13 386 1.7× 127 0.6× 106 0.6× 42 0.4× 21 0.4× 18 478
Keith O. Webber United States 14 253 1.1× 276 1.4× 78 0.5× 116 1.2× 11 0.2× 21 484
Daniel L. Smith United States 8 169 0.7× 66 0.3× 212 1.2× 26 0.3× 16 0.3× 17 485
Yadong Wei United States 12 354 1.5× 100 0.5× 125 0.7× 318 3.2× 11 0.2× 13 604

Countries citing papers authored by Martine Darwish

Since Specialization
Citations

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

Fields of papers citing papers by Martine Darwish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martine Darwish

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

All Works

16 of 16 papers shown
1.
Capietto, Aude-Hélène, Reyhane Hoshyar, Martine Darwish, et al.. (2025). MHC2-SCALE enhances identification of immunogenic neoantigens. iScience. 28(4). 112212–112212. 1 indexed citations
2.
Darwish, Martine, et al.. (2023). A Review of Protein- and Peptide-Based Chemical Conjugates: Past, Present, and Future. Pharmaceutics. 15(2). 600–600. 39 indexed citations
3.
Coffey, David G., Yuexin Xu, Andrea Towlerton, et al.. (2022). Case report: A persistently expanded T cell response in an exceptional responder to radiation and atezolizumab for metastatic non-small cell lung cancer. Frontiers in Immunology. 13. 961105–961105.
4.
Rajasekaran, Kamalakannan, et al.. (2022). Tetramer-aided sorting and single-cell RNA sequencing facilitate transcriptional profiling of antigen-specific CD8+ T cells. Translational Oncology. 27. 101559–101559. 1 indexed citations
5.
Schachner, Luis F., Wilson Phung, Guanghui Han, et al.. (2022). High-Throughput, Quantitative Analysis of Peptide-Exchanged MHCI Complexes by Native Mass Spectrometry. Analytical Chemistry. 94(42). 14593–14602. 4 indexed citations
6.
Pollock, Samuel B., Christopher M. Rose, Martine Darwish, et al.. (2021). Sensitive and Quantitative Detection of MHC-I Displayed Neoepitopes Using a Semiautomated Workflow and TOMAHAQ Mass Spectrometry. Molecular & Cellular Proteomics. 20. 100108–100108. 17 indexed citations
7.
Darwish, Martine, Xinxin Gao, Whitney Shatz-Binder, et al.. (2021). Nanolipoprotein particles for co-delivery of cystine-knot peptides and Fab–based therapeutics. Nanoscale Advances. 3(13). 3929–3941. 1 indexed citations
8.
Darwish, Martine, Sara Wichner, Christine Tam, et al.. (2021). High‐throughput identification of conditional MHCI ligands and scaled‐up production of conditional MHCI complexes. Protein Science. 30(6). 1169–1183. 5 indexed citations
9.
Darwish, Martine, Whitney Shatz-Binder, Brandon Leonard, et al.. (2020). Nanolipoprotein Particles as a Delivery Platform for Fab Based Therapeutics. Bioconjugate Chemistry. 31(8). 1995–2007. 12 indexed citations
10.
Mouchess, Maria L., Eric Suto, Bingbing Dai, et al.. (2019). A rationally engineered DNase1-Fc fusion protein ameliorates autoimmune glomerulonephritis. The Journal of Immunology. 202(1_Supplement). 132.4–132.4. 2 indexed citations
11.
Kong, Yu, Christopher M. Rose, Ashley Cass, et al.. (2019). Transposable element expression in tumors is associated with immune infiltration and increased antigenicity. Nature Communications. 10(1). 5228–5228. 146 indexed citations
12.
Lee, Byoung-Chul, Cécile Chalouni, Sophia Doll, et al.. (2018). FRET Reagent Reveals the Intracellular Processing of Peptide-Linked Antibody–Drug Conjugates. Bioconjugate Chemistry. 29(7). 2468–2477. 28 indexed citations
13.
Gregson, Stephen J., Luke A. Masterson, BinQing Wei, et al.. (2017). Pyrrolobenzodiazepine Dimer Antibody–Drug Conjugates: Synthesis and Evaluation of Noncleavable Drug-Linkers. Journal of Medicinal Chemistry. 60(23). 9490–9507. 27 indexed citations
14.
He, Jintang, Dian Su, Carl Ng, et al.. (2017). High-Resolution Accurate-Mass Mass Spectrometry Enabling In-Depth Characterization of in Vivo Biotransformations for Intact Antibody-Drug Conjugates. Analytical Chemistry. 89(10). 5476–5483. 47 indexed citations
15.
Kozak, Katherine R., Siao Ping Tsai, Aimee Fourie-O’Donohue, et al.. (2013). Total Antibody Quantification for MMAE-Conjugated Antibody–Drug Conjugates: Impact of Assay Format and Reagents. Bioconjugate Chemistry. 24(5). 772–779. 24 indexed citations
16.
Tinianow, Jeff N., Herman Gill, Annie Ogasawara, et al.. (2010). Site-specifically 89Zr-labeled monoclonal antibodies for ImmunoPET. Nuclear Medicine and Biology. 37(3). 289–297. 90 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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