S. Krithika

2.3k citations
30 papers · 478 · h-index 14

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic Associations and Epidemiology
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
  • Dermatology top 10%
    • Skin Protection and Aging

Papers in

    • Forensic and Genetic Research 12
    • Genetic diversity and population structure 6
    • Yersinia bacterium, plague, ectoparasites research 4
    • Genetic Associations and Epidemiology 4
    • Genetic and phenotypic traits in livestock 2

S. Krithika

30 papers receiving 451 citations

Peers

S. Krithika
Comparison fields: 5 of 92
  • Genetics 196
  • Dermatology 42
  • Cell Biology 70
  • Pharmacology 26
  • Nutrition and Dietetics 40
Replace Bárbara Hernando with:
Bárbara Hernando Spain
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Géraldine Mercier France
Patricia Porter‐Gill United States
Namita Mukherjee India
Dennis Y. Wang United Kingdom
Jung‐Hwa Choi South Korea
Susan V. Szapiel United States
Ranno Rätsep Estonia
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Citations per field
00.5×8.7×
Bárbara Hernando · 1×
Citations per year

Countries citing papers authored by S. Krithika

Since Specialization
Citations

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

Fields of papers citing papers by S. Krithika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Krithika, 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 S. Krithika Line = papers co-authored together S. Krithika links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201189
2 201657
3 201530
4 201628
5 201724
6 201523
7 201522
8 200921
9 202020
10 200819
11 201518
12 201316
13 200816
14 200514
15 200910
16 20129
17 20069
18 20149
19 20067
20 20206

About S. Krithika

S. Krithika is a scholar working on Genetics, Molecular Biology, Cell Biology, Dermatology and Epidemiology, having authored 30 papers that have together received 478 indexed citations. Recurring topics across this work include Forensic and Genetic Research (12 papers), Genetic diversity and population structure (6 papers), melanin and skin pigmentation (5 papers), Yersinia bacterium, plague, ectoparasites research (4 papers), Genetic Associations and Epidemiology (4 papers), Skin Protection and Aging (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Genetics (196 citations), Dermatology (42 citations), Cell Biology (70 citations), Pharmacology (26 citations) and Nutrition and Dietetics (40 citations). S. Krithika has collaborated with scholars based in India, Canada and United States. Frequent co-authors include T. S. Vasulu, Esteban J. Parra, Melissa Edwards, Monique Johnson, David Cha, S. Sumi, Heather Norton, V.K. Kashyap, R. Trivedi and Miguel Cruz. Their work appears in journals such as Legal Medicine, American Journal of Physical Anthropology, PeerJ, Pharmacogenomics and Journal of Cellular Physiology.

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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