Kavitha Kongara

459 total citations
36 papers, 315 citations indexed

About

Kavitha Kongara is a scholar working on Small Animals, Physiology and Surgery. According to data from OpenAlex, Kavitha Kongara has authored 36 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Small Animals, 12 papers in Physiology and 9 papers in Surgery. Recurrent topics in Kavitha Kongara's work include Veterinary Pharmacology and Anesthesia (24 papers), Pain Mechanisms and Treatments (10 papers) and Anesthesia and Pain Management (8 papers). Kavitha Kongara is often cited by papers focused on Veterinary Pharmacology and Anesthesia (24 papers), Pain Mechanisms and Treatments (10 papers) and Anesthesia and Pain Management (8 papers). Kavitha Kongara collaborates with scholars based in New Zealand, Australia and Netherlands. Kavitha Kongara's co-authors include Craig Johnson, J.P. Chambers, Paul Chambers, M. Carolyn Gates, N. López‐Villalobos, V.S.R. Dukkipati, Katherine E. Littlewood, Neil Ward, Preet Mohinder Singh and David Harding and has published in prestigious journals such as European Journal of Pharmaceutics and Biopharmaceutics, Toxicon and Applied Animal Behaviour Science.

In The Last Decade

Kavitha Kongara

34 papers receiving 301 citations

Peers

Kavitha Kongara
Comparison fields: 5 of 89
  • Small Animals 199
  • Surgery 70
  • Equine 61
  • Physiology 60
  • Anesthesiology and Pain Medicine 44
Replace Michele Barletta with:
Michele Barletta United States
Vivian SY Leung Canada
Leon N. Warne Australia
Paul Chambers New Zealand
Alex Livingston United Kingdom
Ignacio Lizarraga New Zealand
Pedro Sánchez-Aparicio Mexico
JE Ilkiw United States
Juliana Peboni Figueiredo Brazil
Kirsten Wegner United States
Michele Barletta United States View profile →
Citations per field, relative to Kavitha Kongara
Kavitha Kongara · 1×
Citations per year, relative to Kavitha Kongara
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Countries citing papers authored by Kavitha Kongara

Since Specialization
Citations

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

Fields of papers citing papers by Kavitha Kongara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kavitha Kongara

This figure shows the co-authorship network connecting the top 25 collaborators of Kavitha Kongara. A scholar is included among the top collaborators of Kavitha Kongara 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 Kavitha Kongara. Kavitha Kongara 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
# Work Indexed citations
1 0
2 1
3 2
4 4
5 1
6 5
7 1
8 0
9 3
10 5
11 4
12 1
13 9
14 2
15 4
16 5
17 10
18 14
19 34
20 22

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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