Neerav Monga

963 citations
28 papers · 718 · h-index 14

Impact in

Papers in

    • Lymphoma Diagnosis and Treatment 6
    • Genetic factors in colorectal cancer 3
    • Alcohol Consumption and Health Effects 2
    • Viral-associated cancers and disorders 5

Neerav Monga

25 papers receiving 690 citations

Peers

Neerav Monga
Comparison fields: 5 of 79
  • Pathology and Forensic Medicine 310
  • Gastroenterology 59
  • Oncology 193
  • Cancer Research 97
  • Biochemistry 35
Replace Maria Olsen with:
Maria Olsen Netherlands
Joshua Demb United States
Arfon Powell United Kingdom
M Mushinski United States
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Saurabh Nagar United States
Catharina Eriksson Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Neerav Monga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Neerav Monga Line = papers co-authored together Neerav Monga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006128
2 2006107
3 200799
4 200961
5 200745
6 200543
7 200538
8 201824
9 200822
10 200920
11 201420
12 200519
13 201518
14 201514
15 200913
16 200510
17 20209
18 20208
19 20206
20 20135

About Neerav Monga

Neerav Monga is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Epidemiology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 718 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (5 papers), Genetic factors in colorectal cancer (3 papers), Substance Abuse Treatment and Outcomes (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Soft tissue tumor case studies (2 papers), Alcohol Consumption and Health Effects (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (310 citations), Gastroenterology (59 citations), Oncology (193 citations), Cancer Research (97 citations) and Biochemistry (35 citations). Neerav Monga has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Steven Gallinger, Sean P. Cleary, Jürgen Rehm, Benedikt Fischer, Paul C. Adams, Michelle Cotterchio, John L. Hopper, Marina E. Croitoru, Mark A. Jenkins and Bharati Bapat. Their work appears in journals such as Current Medical Research and Opinion, Value in Health, JNCI Journal of the National Cancer Institute, Clinical Gastroenterology and Hepatology and Schizophrenia Research.

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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