Shakil A. Khan

2.8k citations
38 papers · 2.3k indexed · h-index 22
Topics
Neuroscience of respiration and sleep (20 papers)High Altitude and Hypoxia (9 papers)Nitric Oxide and Endothelin Effects (8 papers)

In The Last Decade

Shakil A. Khan

36 papers receiving 2.2k citations

Peers

Shakil A. Khan
Comparison fields: 5 of 98
  • Physiology 1.0k
  • Endocrine and Autonomic Systems 938
  • Molecular Biology 733
  • Genetics 454
  • Cardiology and Cardiovascular Medicine 418
Replace Guoxiang Yuan with:
Guoxiang Yuan United States
Kenneth R. Brittian United States
Elise Belaïdi France
Lisa Hahner United States
Toshinori Aoyagi Japan
Anna M.D. Watson Australia
Klaus Dembowsky Germany
Takeshige Kunieda Japan
Judy H. Dunmore United States
Staffan Edén Sweden
Shakil A. Khan relative to Guoxiang Yuan United States Guoxiang Yuan's profile →
Citations per field
00.5×1.6×
Guoxiang Yuan · 1×
Citations per year

Countries citing papers authored by Shakil A. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Shakil A. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shakil A. Khan. 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 Shakil A. Khan. The network helps show where Shakil A. Khan may publish in the future.

Co-authorship network of co-authors of Shakil A. Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Shakil A. Khan. A scholar is included among the top collaborators of Shakil A. Khan 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 Shakil A. Khan. Shakil A. Khan 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 0
2 5
3 9
4 17
5 55
6 76
7 57
8 74
9 107
10 173
11 20
12 74
13 2
14 153
15 266
16 87
17 27
18 163
19 5
20 5

About Shakil A. Khan

Shakil A. Khan is a scholar working on Endocrine and Autonomic Systems, Physiology and Cancer Research, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (20 papers), High Altitude and Hypoxia (9 papers) and Nitric Oxide and Endothelin Effects (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (938 citations), Physiology (1.0k citations) and Cancer Research (337 citations). Shakil A. Khan has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Nanduri R. Prabhakar, Jayasri Nanduri, Guoxiang Yuan, Gregg L. Semenza, Ning Wang, Yingjie Peng, Joshua M. Hare, Ganesh K. Kumar, Khalid M. Minhas and Vaddi Damodara Reddy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and PLoS ONE.

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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