M. C. Khosla

84 papers receiving 3.0k citations

Peers

M. C. Khosla
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 2.1k
  • Molecular Biology 1.5k
  • Endocrinology, Diabetes and Metabolism 961
  • Cellular and Molecular Neuroscience 476
  • Pharmacology 364
Replace J Saye with:
J Saye United States
Edward H. Blaine United States
Mahesh C. Khosla United States
Deng‐Fu Guo United States
Philip A. Khairallah United States
B Leckie United Kingdom
Frédéric Cumin Switzerland
P Nambi United States
Eleanor Davies United Kingdom
Khalid M. Elased United States
M. C. Khosla relative to J Saye United States J Saye's profile →
Citations per field
00.5×3.1×
J Saye · 1×
Citations per year

Countries citing papers authored by M. C. Khosla

Since Specialization
Citations

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

Fields of papers citing papers by M. C. Khosla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. C. Khosla. 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 M. C. Khosla. The network helps show where M. C. Khosla may publish in the future.

Co-authorship network of co-authors of M. C. Khosla

This figure shows the co-authorship network connecting the top 25 collaborators of M. C. Khosla. A scholar is included among the top collaborators of M. C. Khosla 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 M. C. Khosla. M. C. Khosla 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
#WorkIndexed citations
1 56
2 84
3 73
4 2
5 55
6 54
7 45
8 2
9
Angiotensin II (AII) vascular smooth muscle (VSM) receptors in the domestic fowl: interaction with endothelium (ENDO)
1
10 23
11 5
12 2
13 13
14 16
15 5
16 4
17 7
18 39
19 20
20 23

About M. C. Khosla

M. C. Khosla is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 84 papers that have together received 3.1k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (36 papers), Receptor Mechanisms and Signaling (34 papers) and Chemical Synthesis and Analysis (22 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Endocrinology, Diabetes and Metabolism (961 citations) and Cellular and Molecular Neuroscience (476 citations). M. C. Khosla has collaborated with scholars based in United States, Brazil and Switzerland. Frequent co-authors include Carlos M. Ferrario, F. Merlin Bumpus, Robson A.S. Santos, Debra I. Diz, K. Bridget Brosnihan, Maria José Campagnole‐Santos, Neelam Jaiswal, Robert R. Smeby, E. Ann Tallant and Marc Schiavone. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Circulation Research.

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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