Shivashankar Khanapur

455 citations
27 papers · 324 indexed · h-index 12
Topics
Adenosine and Purinergic Signaling (9 papers)Cancer Immunotherapy and Biomarkers (8 papers)Pharmacological Receptor Mechanisms and Effects (7 papers)

In The Last Decade

Shivashankar Khanapur

27 papers receiving 321 citations

Peers

Shivashankar Khanapur
Comparison fields: 5 of 57
  • Molecular Biology 131
  • Physiology 107
  • Cellular and Molecular Neuroscience 61
  • Oncology 57
  • Radiology, Nuclear Medicine and Imaging 50
Replace Barbara E. Glick‐Wilson with:
Barbara E. Glick‐Wilson United States
Paul Scott‐Stevens United Kingdom
Kalpana Patel United States
Leyla Arik United States
Yansheng Zhai United States
Lihsueh Lee United States
Kenneth G. Kraus United States
Stephen W. Young United States
Ole Tietz United Kingdom
Pier Andrea Borea Italy
Shivashankar Khanapur relative to Barbara E. Glick‐Wilson United States Barbara E. Glick‐Wilson's profile →
Citations per field
00.5×4.6×
Barbara E. Glick‐Wilson · 1×
Citations per year

Countries citing papers authored by Shivashankar Khanapur

Since Specialization
Citations

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

Fields of papers citing papers by Shivashankar Khanapur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivashankar Khanapur

This figure shows the co-authorship network connecting the top 25 collaborators of Shivashankar Khanapur. A scholar is included among the top collaborators of Shivashankar Khanapur 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 Shivashankar Khanapur. Shivashankar Khanapur 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 1
2 1
3 10
4 3
5 25
6 2
7 23
8 14
9 9
10 23
11 33
12 13
13 16
14 14
15 26
16 5
17 10
18 27
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20 19

About Shivashankar Khanapur

Shivashankar Khanapur is a scholar working on Physiology, Pharmaceutical Science and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 324 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (9 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Pharmacological Receptor Mechanisms and Effects (7 papers). The work is most often cited by research in Physiology (107 citations), Pharmaceutical Science (27 citations) and Cellular and Molecular Neuroscience (61 citations). Shivashankar Khanapur has collaborated with scholars based in Singapore, Netherlands and Japan. Frequent co-authors include Philip H. Elsinga, Aren van Waarde, Rudi Dierckx, Edward G. Robins, Erik F. J. de Vries, Siddesh V. Hartimath, Julian Goggi, Boominathan Ramasamy, Kiichi Ishiwata and Gert Luurtsema. Their work appears in journals such as Angewandte Chemie International Edition, NeuroImage and International Journal of Molecular Sciences.

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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