Manish Patel

713 total citations
26 papers, 183 citations indexed

About

Manish Patel is a scholar working on Oncology, Immunology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Manish Patel has authored 26 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 5 papers in Immunology and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Manish Patel's work include Cancer Immunotherapy and Biomarkers (6 papers), Atomic and Molecular Physics (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Manish Patel is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Atomic and Molecular Physics (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Manish Patel collaborates with scholars based in United States, United Kingdom and South Korea. Manish Patel's co-authors include Andrew James Murray, Stephen V. Liu, Alexander Drilon, Filippo de Braud, Yu Li, Matthew Krebs, Chao‐Hua Chiu, Fabrice Barlési, Bann‐Mo Day and Salvatore Siena and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Manish Patel

22 papers receiving 179 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Patel United States 5 97 91 54 27 19 26 183
Yifan Li China 10 63 0.6× 64 0.7× 97 1.8× 58 2.1× 14 0.7× 34 298
Daniele Marinelli Italy 10 98 1.0× 132 1.5× 104 1.9× 91 3.4× 8 0.4× 35 330
Yuchen Shen China 10 34 0.4× 26 0.3× 81 1.5× 37 1.4× 55 2.9× 41 261
Uzair Ali Khan Pakistan 5 34 0.4× 80 0.9× 62 1.1× 27 1.0× 3 0.2× 14 178
Anna Markiewicz Poland 10 34 0.4× 50 0.5× 70 1.3× 16 0.6× 13 0.7× 43 283
Erta Kalanxhi Norway 11 49 0.5× 57 0.6× 188 3.5× 51 1.9× 13 0.7× 22 329
Sophie Dobiasch Germany 10 65 0.7× 68 0.7× 50 0.9× 27 1.0× 2 0.1× 22 215
Melanie Triboulet United States 7 35 0.4× 199 2.2× 74 1.4× 130 4.8× 18 0.9× 10 367
Zongming Lin China 11 128 1.3× 140 1.5× 158 2.9× 50 1.9× 5 0.3× 18 374
Christopher A. Wadsworth United Kingdom 9 107 1.1× 84 0.9× 58 1.1× 47 1.7× 11 0.6× 25 284

Countries citing papers authored by Manish Patel

Since Specialization
Citations

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

Fields of papers citing papers by Manish Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Patel

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

All Works

20 of 20 papers shown
1.
Patel, Manish, et al.. (2025). Hyperspectral Imaging for the Dynamic Mapping of Total Phenolic and Flavonoid Contents in Microgreens. AgriEngineering. 7(4). 107–107. 2 indexed citations
2.
Li, Daneng, Sun Young Kim, Hee Kyung Kim, et al.. (2025). Update of phase 1b/2 study of muzastotug (ADG126, an anti-CTLA-4 SAFEbody) in combination with pembrolizumab in advanced/metastatic MSS CRC.. Journal of Clinical Oncology. 43(4_suppl). 193–193. 1 indexed citations
3.
Li, Daneng, Sun Young Kim, Manish Patel, et al.. (2025). Safety and efficacy of ADG126 (an anti-CTLA-4 masking antibody) in combination with pembrolizumab: Updated results of phase 1b/2 study in advanced MSS CRC.. Journal of Clinical Oncology. 43(16_suppl). 3579–3579.
4.
5.
Patel, Manish, et al.. (2024). Deep Learning in Automated Short Answer Grading: A Comprehensive Review. SHILAP Revista de lepidopterología. 65. 3003–3003.
6.
Patel, Manish, Michael Tees, Nadia Khan, et al.. (2024). IBCL-147 AC676, an Orally Bioavailable BTK Chimeric Degrader in Patients With B-cell Malignancies. Clinical Lymphoma Myeloma & Leukemia. 24. S494–S494. 3 indexed citations
7.
Patel, Manish, et al.. (2024). Predicting Cardiovascular Disease with Machine Learning Algorithms: A Review. SHILAP Revista de lepidopterología. 65. 3011–3011.
8.
Taylor, Matthew H., Aung Naing, John D. Powderly, et al.. (2024). Phase I dose escalation study of IO-108, an anti-LILRB2 antibody, in patients with advanced solid tumors. Journal for ImmunoTherapy of Cancer. 12(11). e010006–e010006. 4 indexed citations
9.
Tees, Michael, David A. Bond, Nadia Khan, et al.. (2024). A Phase 1 Study of AC676, a Novel BTK Chimeric Degrader, in Patients with B-Cell Malignancies. Blood. 144(Supplement 1). 4422.1–4422.1. 6 indexed citations
10.
11.
Spira, Alexander I., Roisin E. O’Cearbhaill, Patricia LoRusso, et al.. (2024). A phase 1, first-in-human study of CUSP06, a cadherin-6 (CDH6) -directed antibody-drug conjugate, in patients with platinum-refractory/resistant ovarian cancer and other advanced solid tumors.. Journal of Clinical Oncology. 42(16_suppl). TPS3166–TPS3166. 2 indexed citations
12.
Meyer, Brian K., Debbie Nahas, Andrew Danziger, et al.. (2023). Evaluation of luciferase and prefusion-stabilized F protein from respiratory syncytial virus mRNA/LNPs in pre-clinical models using jet delivery compared to needle and syringe. Vaccine X. 16. 100420–100420. 3 indexed citations
13.
Mostafa, Mohamed, Richard Hammersley, Manish Patel, et al.. (2023). Using a machine learning model to risk stratify for the presence of significant liver disease in a primary care population. Repository@Nottingham (University of Nottingham). 6. 27–27. 2 indexed citations
14.
Patel, Manish & Andrew James Murray. (2022). Measurement of argon (e,2e) differential cross sections in the perpendicular plane from 5 to 200 eV above the ionization threshold. Physical review. A. 105(4). 2 indexed citations
15.
Oaknin, Ana, Floor Backes, Els Van Nieuwenhuysen, et al.. (2022). LIO-1: Initial phase 2 experience of lucitanib + nivolumab in patients with metastatic or recurrent cervical cancer (NCT04042116; ENGOT-GYN3/AGO/LIO) (034). Gynecologic Oncology. 166. S24–S24. 4 indexed citations
16.
17.
Patel, Manish, et al.. (2022). Laser-atom interaction simulator derived from quantum electrodynamics. Physical review. A. 105(5). 2 indexed citations
18.
Dziadziuszko, Rafał, Matthew Krebs, Filippo de Braud, et al.. (2021). Updated Integrated Analysis of the Efficacy and Safety of Entrectinib in Locally Advanced or MetastaticROS1Fusion–Positive Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 39(11). 1253–1263. 111 indexed citations
19.
Kulkarni, Amit, et al.. (2019). MA07.09 Impact of Body Mass Index on Clinical Outcomes of Immune Checkpoint Blockers in Advanced Non-Small Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S275–S276. 2 indexed citations
20.
Patel, Manish, et al.. (2019). Triple differential cross-section measurements for electron-impact ionization of methane from a coplanar geometry to the perpendicular plane. The Journal of Chemical Physics. 151(19). 194305–194305. 8 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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