Sameer Paithankar

669 citations
9 papers · 511 · h-index 8

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology

Papers in

Sameer Paithankar

9 papers receiving 499 citations

Peers

Sameer Paithankar
Comparison fields: 5 of 76
  • Cancer Research 105
  • Genetics 193
  • Molecular Biology 271
  • Biological Psychiatry 3
  • Pathology and Forensic Medicine 21
Replace Chee Seng Ku with:
Chee Seng Ku Sweden
Chuan Chen China
Elena Alexandrova Italy
Karin Schwarzbauer Austria
Deepak Purushotham United States
Shruti Sinha India
Nathan D Maulding United States
Jin Huang China
Laurel A Bastone United States
Sameer Paithankar relative to Chee Seng Ku Sweden Chee Seng Ku's profile →
Citations per field
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Chee Seng Ku · 1×
Citations per year

Countries citing papers authored by Sameer Paithankar

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Paithankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2012221
2 201569
3 201755
4 201248
5 201844
6 201241
7 201420
8 200912
9 20111

About Sameer Paithankar

Sameer Paithankar is a scholar working on Information Systems and Management, Genetics, Molecular Biology, Computer Networks and Communications and Insect Science, having authored 9 papers that have together received 511 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (4 papers), Scientific Computing and Data Management (2 papers), Studies on Chitinases and Chitosanases (1 paper), Advanced Data Storage Technologies (1 paper), RNA modifications and cancer (1 paper), Gene expression and cancer classification (1 paper), Parasitic Diseases Research and Treatment (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Cancer Research (105 citations), Genetics (193 citations), Molecular Biology (271 citations), Biological Psychiatry (3 citations) and Pathology and Forensic Medicine (21 citations). Sameer Paithankar has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Aleksandar Milosavljevic, CRISTIAN COARFA, Andrew R. Jackson, Danny Challis, Jin Yu, Fuli Yu, Uday Shanker Evani, Richard A. Gibbs, Kevin P. Riehle and Viren R. Amin. Their work appears in journals such as BMC Bioinformatics, Human Mutation, BMC Genomics, Nature Communications and PROTEOMICS.

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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