K. Ravi Acharya

15.2k citations
272 papers · 12.0k indexed · 3 hit papers · h-index 58
Topics
Enzyme Structure and Function (41 papers)Glycosylation and Glycoproteins Research (37 papers)Toxin Mechanisms and Immunotoxins (28 papers)

In The Last Decade

K. Ravi Acharya

263 papers receiving 11.7k citations

Hit Papers

Crystal structure of the human angiotensin-converting enz...2003202620102018200320062014200400600

Peers

K. Ravi Acharya
Comparison fields: 5 of 149
  • Molecular Biology 7.1k
  • Immunology 1.9k
  • Neurology 1.2k
  • Materials Chemistry 1.2k
  • Organic Chemistry 1.1k
Replace David P. Fairlie with:
David P. Fairlie Australia
Marja Jäättelä Denmark
Luke Whitesell United States
Jane B. Trepel United States
Len Neckers United States
Takashi Tsuruo Japan
Yasushi Ishihama Japan
Martino Bolognesi Italy
Stanley T. Crooke United States
Marek Łoś Canada
K. Ravi Acharya relative to David P. Fairlie Australia David P. Fairlie's profile →
Citations per field
00.5×2.7×
David P. Fairlie · 1×
Citations per year

Countries citing papers authored by K. Ravi Acharya

Since Specialization
Citations

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

Fields of papers citing papers by K. Ravi Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Ravi Acharya. 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 K. Ravi Acharya. The network helps show where K. Ravi Acharya may publish in the future.

Co-authorship network of co-authors of K. Ravi Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of K. Ravi Acharya. A scholar is included among the top collaborators of K. Ravi Acharya 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 K. Ravi Acharya. K. Ravi Acharya 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 1
3 18
4 14
5 2
6 14
7 0
8 7
9 3
10 9
11 37
12 18
13 42
14 14
15 57
16 88
17 234
18 259
19 78
20 117

About K. Ravi Acharya

K. Ravi Acharya is a scholar working on Immunology, Molecular Biology and Neurology, having authored 272 papers that have together received 12.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (41 papers), Glycosylation and Glycoproteins Research (37 papers) and Toxin Mechanisms and Immunotoxins (28 papers). The work is most often cited by research in Molecular Biology (7.1k citations), Immunology (1.9k citations) and Neurology (1.2k citations). K. Ravi Acharya has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Edward D. Sturrock, Sylva L. U. Schwager, R. Natesh, Keith Brew, Steven J. Ackerman, David I. Stuart, D.D. Leonidas, Kenneth P. Holbourn, Shalini Iyer and Anastassios C. Papageorgiou. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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