Mingma Sherpa

406 total citations
38 papers, 282 citations indexed

About

Mingma Sherpa is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Mingma Sherpa has authored 38 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Mingma Sherpa's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Mesenchymal stem cell research (3 papers) and Molecular Biology Techniques and Applications (3 papers). Mingma Sherpa is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Mesenchymal stem cell research (3 papers) and Molecular Biology Techniques and Applications (3 papers). Mingma Sherpa collaborates with scholars based in India, United States and Nepal. Mingma Sherpa's co-authors include Amrita Ghosh, Ranabir Pal, Sergio de Frutos, Laura V. González Bosc, Sanjay Dahal, Saurav Kumar Jha, Mohammad Imran, Yousuf Mohammed, Keshav Raj Paudel and Varsha Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Physiology-Cell Physiology and Investigative Ophthalmology & Visual Science.

In The Last Decade

Mingma Sherpa

30 papers receiving 269 citations

Peers

Mingma Sherpa
Comparison fields: 5 of 92
  • Molecular Biology 56
  • Endocrinology, Diabetes and Metabolism 48
  • Physiology 47
  • Cardiology and Cardiovascular Medicine 37
  • Epidemiology 35
Replace Yeonjung Kim with:
Yeonjung Kim South Korea
Gordana Lazarević Serbia
Juan Manuel Vargas‐Morales Mexico
Onanong Kulaputana Thailand
Karunee Kwanbunjan Thailand
Mohsen Masjedi Iran
Paweł Samborski Poland
Alejandra Meaney Mexico
Jianlu Bi China
Yeonjung Kim South Korea View profile →
Citations per field, relative to Mingma Sherpa
Mingma Sherpa · 1×
Citations per year, relative to Mingma Sherpa
Mingma Sherpa · 1×

Countries citing papers authored by Mingma Sherpa

Since Specialization
Citations

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

Fields of papers citing papers by Mingma Sherpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingma Sherpa

This figure shows the co-authorship network connecting the top 25 collaborators of Mingma Sherpa. A scholar is included among the top collaborators of Mingma Sherpa 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 Mingma Sherpa. Mingma Sherpa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 0
5 45
6 2
7 10
8 5
9 6
10 1
11 3
12
Perinodular Hydropic Degeneration in a Case of Leiomyoma Uterus: A Rare Case Report and Review of Literature
1
13
Academic Ophthalmology Departments and their use of Facebook, Instagram and Twitter Social Media Pages
2
14 18
15 1
16 6
17 7
18 1
19 3
20 72

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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2026