Kavitha Krishnan

1.6k citations
23 papers · 779 · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Risks and Factors
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
  • Nephrology top 10%

Papers in

Kavitha Krishnan

21 papers receiving 761 citations

Peers

Kavitha Krishnan
Comparison fields: 5 of 92
  • Oncology 345
  • Nephrology 58
  • Cancer Research 108
  • Public Health, Environmental and Occupational Health 194
  • Behavioral Neuroscience 23
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Kavitha Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Kavitha Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kavitha Krishnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kavitha Krishnan Line = papers co-authored together Kavitha Krishnan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008105
2 200480
3 201079
4 199176
5 201071
6 201062
7 200945
8 200945
9 201345
10 201335
11 201731
12 201028
13 201623
14 201816
15 20018
16 20197
17 20176
18 20045
19
Effect of castration/sterilization on eating quality and nutritive value of meat in male goats.
19824
20 20234

About Kavitha Krishnan

Kavitha Krishnan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Artificial Intelligence and Genetics, having authored 23 papers that have together received 779 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (5 papers), Nutritional Studies and Diet (5 papers), Global Cancer Incidence and Screening (5 papers), Cancer Risks and Factors (5 papers), AI in cancer detection (3 papers), Colorectal Cancer Screening and Detection (3 papers), Estrogen and related hormone effects (3 papers) and Urological Disorders and Treatments (2 papers). The work is most often cited by research in Oncology (345 citations), Nephrology (58 citations), Cancer Research (108 citations), Public Health, Environmental and Occupational Health (194 citations) and Behavioral Neuroscience (23 citations). Kavitha Krishnan has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Graham G. Giles, John L. Hopper, Laura Baglietto, Dallas R. English, Gianluca Severi, Howard A. Morris, Robert J. MacInnis, Wayne D. Tilley, Catriona McLean and Julie K. Bassett. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Breast Cancer Research, British Journal of Cancer, European Journal of Clinical Nutrition and BMC Cancer.

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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