Battsetseg Batchuluun
- Molecular Biology
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Surgery
- Co-authors
- Gregory R. SteinbergStephen L. PinkoskyMichael B. WheelerYing LiuToyoshi InoguchiRyoichi TakayanagiKacey J. PrenticeNoriyuki Sonoda
- Topics
- Pancreatic function and diabetes (7 papers)Metabolism, Diabetes, and Cancer (6 papers)Liver Disease Diagnosis and Treatment (4 papers)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Battsetseg Batchuluun
22 papers receiving 979 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 428
- Epidemiology 213
- Endocrinology, Diabetes and Metabolism 208
- Physiology 201
- Surgery 187
Countries citing papers authored by Battsetseg Batchuluun
This map shows the geographic impact of Battsetseg Batchuluun'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 Battsetseg Batchuluun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Battsetseg Batchuluun more than expected).
Fields of papers citing papers by Battsetseg Batchuluun
This network shows the impact of papers produced by Battsetseg Batchuluun. 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 Battsetseg Batchuluun. The network helps show where Battsetseg Batchuluun may publish in the future.
Co-authorship network of co-authors of Battsetseg Batchuluun
This figure shows the co-authorship network connecting the top 25 collaborators of Battsetseg Batchuluun. A scholar is included among the top collaborators of Battsetseg Batchuluun 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 Battsetseg Batchuluun. Battsetseg Batchuluun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 17 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 5 | |
| 7 | Lipogenesis inhibitors: therapeutic opportunities and challengesbreakdown → | 244 |
| 8 | 5 | |
| 9 | 55 | |
| 10 | 45 | |
| 11 | 49 | |
| 12 | 15 | |
| 13 | 19 | |
| 14 | 46 | |
| 15 | 20 | |
| 16 | 22 | |
| 17 | 64 | |
| 18 | 31 | |
| 19 | 139 | |
| 20 | 11 |
About Battsetseg Batchuluun
Battsetseg Batchuluun is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry and Biochemistry, having authored 23 papers that have together received 989 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (208 citations), Obstetrics and Gynecology (68 citations) and Physiology (201 citations). Battsetseg Batchuluun has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Gregory R. Steinberg, Stephen L. Pinkosky, Michael B. Wheeler, Ying Liu, Toyoshi Inoguchi, Ryoichi Takayanagi, Kacey J. Prentice, Noriyuki Sonoda, Alpana Bhattacharjee and Dana Al Rijjal. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Nature Reviews Drug Discovery.
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.