Manish Monga
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Peptidase Inhibition and Analysis
- Lung Cancer Research Studies
Papers in
- Oncology 19
- Cancer Immunotherapy and Biomarkers 13
- Cancer Diagnosis and Treatment 4
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- Renal cell carcinoma treatment 4
- Lung Cancer Treatments and Mutations 4
- Co-authors
- Edward A. Sausville (3 shared papers)Yusri Elsayed (3 shared papers)William D. Figg (2 shared papers)Kyunghwa Hwang (1 shared paper)Eun Joo Chung (1 shared paper)Milin Acharya (1 shared paper)Jane B. Trepel (1 shared paper)Qin Ryan (2 shared papers)
- Journals
- Journal of Clinical Oncology (17 papers)Annals of Oncology (5 papers)Cancer Research (2 papers)Cancer (1 paper)Clinical & Experimental Metastasis (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Manish Monga
35 papers receiving 981 citations
Peers
Comparison fields: 5 of 78
- Otorhinolaryngology 86
- Oncology 478
- Molecular Biology 582
- Pulmonary and Respiratory Medicine 158
- Cancer Research 66
Countries citing papers authored by Manish Monga
This map shows the geographic impact of Manish Monga'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 Monga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Monga more than expected).
Fields of papers citing papers by Manish Monga
This network shows the impact of papers produced by Manish Monga. 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 Monga. The network helps show where Manish Monga may publish in the future.
Co-authors
The 25 scholars most cited alongside Manish Monga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 344 | |
| 2 | 2002 | 123 | |
| 3 | 2003 | 75 | |
| 4 | 2017 | 72 | |
| 5 | 2019 | 63 | |
| 6 | 2016 | 61 | |
| 7 | 2016 | 41 | |
| 8 | 2014 | 33 | |
| 9 | 2017 | 31 | |
| 10 | 2017 | 21 | |
| 11 | 2020 | 18 | |
| 12 | 2014 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2014 | 11 | |
| 15 | 2015 | 10 | |
| 16 | 2013 | 9 | |
| 17 | 2003 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2016 | 5 |
About Manish Monga
Manish Monga is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Otorhinolaryngology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Head and Neck Cancer Studies (7 papers), Bladder and Urothelial Cancer Treatments (5 papers), Fibroblast Growth Factor Research (5 papers), Renal cell carcinoma treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Diagnosis and Treatment (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Otorhinolaryngology (86 citations), Oncology (478 citations), Molecular Biology (582 citations), Pulmonary and Respiratory Medicine (158 citations) and Cancer Research (66 citations). Manish Monga has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Edward A. Sausville, Yusri Elsayed, William D. Figg, Kyunghwa Hwang, Eun Joo Chung, Milin Acharya, Jane B. Trepel, Qin Ryan, Anthony J. Murgo and Donna Headlee. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, Cancer and Clinical & Experimental Metastasis.
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.