Mukesh Agarwal
- Obstetrics and Gynecology top 0.1%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Pediatrics, Perinatology and Child Health top 1%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Gurdeep S. DhattJohn PunnoseMoshe HodChristy ChuangHema DivakarJessica MorrisDavid A. SacksGian Carlo Di Renzo
- Topics
- Gestational Diabetes Research and Management (42 papers)Pregnancy and preeclampsia studies (22 papers)Bariatric Surgery and Outcomes (19 papers)
- Cited by
- Obstetrics and GynecologyEndocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child Health
- Journals
- SHILAP Revista de lepidopterologíaDiabetes CareAnnals of Surgery
- Partner nations
- United Arab EmiratesUnited StatesIndia
In The Last Decade
Mukesh Agarwal
90 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Obstetrics and Gynecology 2.4k
- Surgery 1.4k
- Endocrinology, Diabetes and Metabolism 938
- Pediatrics, Perinatology and Child Health 793
- Public Health, Environmental and Occupational Health 425
Countries citing papers authored by Mukesh Agarwal
This map shows the geographic impact of Mukesh Agarwal'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 Mukesh Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Agarwal more than expected).
Fields of papers citing papers by Mukesh Agarwal
This network shows the impact of papers produced by Mukesh Agarwal. 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 Mukesh Agarwal. The network helps show where Mukesh Agarwal may publish in the future.
Co-authorship network of co-authors of Mukesh Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Agarwal. A scholar is included among the top collaborators of Mukesh Agarwal 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 Mukesh Agarwal. Mukesh Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 93 | |
| 3 | A Family that Climbed Out of Inbreeding Depression | 2 |
| 4 | 21 | |
| 5 | 11 | |
| 6 | 37 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 17 | |
| 10 | 105 | |
| 11 | 12 | |
| 12 | 20 | |
| 13 | 51 | |
| 14 | 36 | |
| 15 | 5 | |
| 16 | 42 | |
| 17 | 14 | |
| 18 | 30 | |
| 19 | 10 | |
| 20 | 202 |
About Mukesh Agarwal
Mukesh Agarwal is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 93 papers that have together received 4.2k indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (42 papers), Pregnancy and preeclampsia studies (22 papers) and Bariatric Surgery and Outcomes (19 papers). The work is most often cited by research in Obstetrics and Gynecology (2.4k citations), Endocrinology, Diabetes and Metabolism (938 citations) and Pediatrics, Perinatology and Child Health (793 citations). Mukesh Agarwal has collaborated with scholars based in United Arab Emirates, United States and India. Frequent co-authors include Gurdeep S. Dhatt, John Punnose, Moshe Hod, Christy Chuang, Hema Divakar, Jessica Morris, David A. Sacks, Gian Carlo Di Renzo, Eran Hadar and L. Cabero. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Annals of Surgery.
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.