Mohit Goyal

18 papers receiving 406 citations

Mohit Goyal's Hit Papers

Retrospective Studies – Utility and Caveats 2020 · 338 citations
3380+2+4Years since publication100200300

Peers

Mohit Goyal
Comparison fields: 5 of 113
  • Health Informatics 5
  • Issues, ethics and legal aspects 3
  • Rheumatology 22
  • Psychiatry and Mental health 21
  • Public Health, Environmental and Occupational Health 36
Replace Keerthi Talari with:
Keerthi Talari India
Neema Acharya India
Chen Yeh United States
Jeffrey N. Bone Canada
Melissa McGowan Canada
Nicholas A. Koontz United States
Clare Clement United Kingdom
Karolina Kłoda Poland
Toshiharu Mitsuhashi Japan
Laura Flores United States
Mohit Goyal relative to Keerthi Talari India Keerthi Talari's profile →
Citations per field
00.5×
Keerthi Talari · 1×
Citations per year

Countries citing papers authored by Mohit Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohit Goyal, 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 Mohit Goyal Line = papers co-authored together Mohit Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Retrospective Studies – Utility and Caveats
Hit paper breakdown →
2020338
2 202017
3 200710
4 20188
5 20217
6 20236
7 20206
8 20226
9 20175
10 20233
11 20223
12 20202
13 20191
14 20221
15 20141
16 20251
17 20181
18 20211
19 20211
20 20210

About Mohit Goyal

Mohit Goyal is a scholar working on Rheumatology, General Health Professions, Public Health, Environmental and Occupational Health, Immunology and Surgery, having authored 25 papers that have together received 418 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (4 papers), Academic Writing and Publishing (3 papers), Health Sciences Research and Education (3 papers), Meta-analysis and systematic reviews (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Healthcare cost, quality, practices (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Spondyloarthritis Studies and Treatments (2 papers). The work is most often cited by research in Health Informatics (5 citations), Issues, ethics and legal aspects (3 citations), Rheumatology (22 citations), Psychiatry and Mental health (21 citations) and Public Health, Environmental and Occupational Health (36 citations). Mohit Goyal has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Keerthi Talari, Vinod Ravindran, Durga Prasanna Misra, Amit Dua, Barbara A. Bangert, Shenandoah Robinson, Mark L. Cohen, Nora G. Singer, Vikas Agarwal and Deepak Juyal. Their work appears in journals such as The Journal of the Royal College of Physicians of Edinburgh, Neurology, Rheumatic Disease Clinics of North America, Best Practice & Research Clinical Rheumatology and Lara D. Veeken.

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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