Sahadev Shankarappa

1.8k citations
35 papers · 1.5k indexed · h-index 19
Topics
Pain Mechanisms and Treatments (8 papers)Anesthesia and Pain Management (7 papers)Nerve injury and regeneration (6 papers)
Partner nations
IndiaUnited StatesJapan

In The Last Decade

Sahadev Shankarappa

35 papers receiving 1.5k citations

Peers

Sahadev Shankarappa
Comparison fields: 5 of 121
  • Biomedical Engineering 524
  • Biomaterials 364
  • Surgery 333
  • Molecular Biology 264
  • Physiology 196
Replace Felicity Y. Han with:
Felicity Y. Han Australia
Jin Gao United States
Jonathan H. Tsui United States
Minhyung Lee South Korea
Manlio Barbarisi Italy
Stephen Britland United Kingdom
Alina Y. Rwei United States
Takahiro Goto Japan
Jixiang Zhu China
Jian Du United States
Sahadev Shankarappa relative to Felicity Y. Han Australia Felicity Y. Han's profile →
Citations per field
00.5×4.3×
Felicity Y. Han · 1×
Citations per year

Countries citing papers authored by Sahadev Shankarappa

Since Specialization
Citations

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

Fields of papers citing papers by Sahadev Shankarappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahadev Shankarappa

This figure shows the co-authorship network connecting the top 25 collaborators of Sahadev Shankarappa. A scholar is included among the top collaborators of Sahadev Shankarappa 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 Sahadev Shankarappa. Sahadev Shankarappa 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 2
3 2
4 9
5 4
6 6
7 12
8 51
9 44
10 18
11 22
12 53
13 22
14 113
15 50
16 18
17 6
18 5
19 95
20 63

About Sahadev Shankarappa

Sahadev Shankarappa is a scholar working on Developmental Neuroscience, Pharmaceutical Science and Anesthesiology and Pain Medicine, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Anesthesia and Pain Management (7 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Biomaterials (364 citations), Pharmaceutical Science (155 citations) and Molecular Medicine (85 citations). Sahadev Shankarappa has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Daniel S. Kohane, Jonathan H. Tsui, Albert Kwon, Alina Y. Rwei, Jung‐Jae Lee, J. Brian McAlvin, Róbert Langer, Gally Reznor, Kyung Jae Jeong and Michinao Hashimoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nano Letters and Biomaterials.

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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