Neerav Monga
Impact in
-
- Genetic factors in colorectal cancer
- Gastroenterology top 5%
- Gastrointestinal Bleeding Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 6
- Genetic factors in colorectal cancer 3
- Genetics 3
- Co-authors
- Steven Gallinger (3 shared papers)Sean P. Cleary (2 shared papers)Paul C. Adams (1 shared paper)Mark A. Jenkins (1 shared paper)Benedikt Fischer (3 shared papers)Michelle Cotterchio (1 shared paper)Jürgen Rehm (3 shared papers)Marina E. Croitoru (1 shared paper)
- Journals
- Value in Health (2 papers)Current Medical Research and Opinion (2 papers)Alcohol and Alcoholism (1 paper)Histopathology (1 paper)Critical Reviews in Oncology/Hematology (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Neerav Monga
27 papers receiving 717 citations
Peers
Comparison fields: 5 of 72
- Pathology and Forensic Medicine 295
- Gastroenterology 61
- Biochemistry 35
- Oncology 143
- Cancer Research 72
Countries citing papers authored by Neerav Monga
This map shows the geographic impact of Neerav 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 Neerav Monga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neerav Monga more than expected).
Fields of papers citing papers by Neerav Monga
This network shows the impact of papers produced by Neerav 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 Neerav Monga. The network helps show where Neerav Monga may publish in the future.
Co-authors
The 25 scholars most cited alongside Neerav 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2006 | 108 | |
| 3 | 2007 | 100 | |
| 4 | 2009 | 66 | |
| 5 | 2007 | 50 | |
| 6 | 2005 | 43 | |
| 7 | 2005 | 39 | |
| 8 | 2008 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2014 | 21 | |
| 11 | 2009 | 20 | |
| 12 | 2005 | 19 | |
| 13 | 2015 | 18 | |
| 14 | 2015 | 14 | |
| 15 | 2009 | 14 | |
| 16 | 2005 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2020 | 6 | |
| 20 | 2013 | 5 |
About Neerav Monga
Neerav Monga is a scholar working on Pathology and Forensic Medicine, Genetics, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 27 papers that have together received 754 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (3 papers), Genetic factors in colorectal cancer (3 papers), Opioid Use Disorder Treatment (2 papers), Substance Abuse Treatment and Outcomes (2 papers), Soft tissue tumor case studies (2 papers), Schizophrenia research and treatment (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (295 citations), Gastroenterology (61 citations), Biochemistry (35 citations), Oncology (143 citations) and Cancer Research (72 citations). Neerav Monga has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Steven Gallinger, Sean P. Cleary, Paul C. Adams, Mark A. Jenkins, Benedikt Fischer, Michelle Cotterchio, Jürgen Rehm, Marina E. Croitoru, John L. Hopper and Bharati Bapat. Their work appears in journals such as Value in Health, Current Medical Research and Opinion, Alcohol and Alcoholism, Histopathology and Critical Reviews in Oncology/Hematology.
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.