Anish Konkar
- Physiology top 5%
- Molecular Biology
- Endocrine and Autonomic Systems top 5%
- Epidemiology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- James G. GrannemanYun‐Hee LeeAnelia PetkovaYing ZhaiZhengxian ZhuJoseph GrimsbyCristina M. RondinoneHong Yang
- Topics
- Receptor Mechanisms and Signaling (12 papers)Adipose Tissue and Metabolism (10 papers)Diabetes Treatment and Management (6 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaCell Metabolism
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Anish Konkar
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Physiology 530
- Molecular Biology 429
- Endocrine and Autonomic Systems 245
- Epidemiology 225
- Cellular and Molecular Neuroscience 202
Countries citing papers authored by Anish Konkar
This map shows the geographic impact of Anish Konkar'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 Anish Konkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anish Konkar more than expected).
Fields of papers citing papers by Anish Konkar
This network shows the impact of papers produced by Anish Konkar. 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 Anish Konkar. The network helps show where Anish Konkar may publish in the future.
Co-authorship network of co-authors of Anish Konkar
This figure shows the co-authorship network connecting the top 25 collaborators of Anish Konkar. A scholar is included among the top collaborators of Anish Konkar 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 Anish Konkar. Anish Konkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 55 | |
| 5 | 13 | |
| 6 | 50 | |
| 7 | 40 | |
| 8 | 260 | |
| 9 | 31 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 45 | |
| 15 | beta1-adrenergic receptors mediate beta3-adrenergic-independent effects of CGP 12177 in brown adipose tissue. | 76 |
| 16 | Aryloxypropanolamine and catecholamine ligand interactions with the beta(1)-adrenergic receptor: evidence for interaction with distinct conformations of beta(1)-adrenergic receptors. | 68 |
| 17 | 8 | |
| 18 | 17 | |
| 19 | 22 | |
| 20 | 6 |
About Anish Konkar
Anish Konkar is a scholar working on Physiology, Animal Science and Zoology and Endocrine and Autonomic Systems, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Adipose Tissue and Metabolism (10 papers) and Diabetes Treatment and Management (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (245 citations), Physiology (530 citations) and Cellular and Molecular Neuroscience (202 citations). Anish Konkar has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include James G. Granneman, Yun‐Hee Lee, Anelia Petkova, Ying Zhai, Zhengxian Zhu, Joseph Grimsby, Cristina M. Rondinone, Hong Yang, Daniel D. Kaplan and Hui Tian. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cell Metabolism.
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.