Snehit Prabhu

3.3k citations
7 papers · 606 indexed · 1 hit paper · h-index 5
Topics
Genomics and Rare Diseases (2 papers)Genetic Associations and Epidemiology (2 papers)Service-Oriented Architecture and Web Services (1 paper)

In The Last Decade

Snehit Prabhu

5 papers receiving 598 citations

Hit Papers

Modeling the ACMG/AMP variant classification guidelines a...2018202620202023201850100150200250

Peers

Snehit Prabhu
Comparison fields: 5 of 77
  • Molecular Biology 349
  • Genetics 335
  • Aging 92
  • Cancer Research 76
  • Plant Science 52
Replace Kevin Chen with:
Kevin Chen United States
Shruti Bhide United States
Marco De Cecco United States
Idan Gabdank United States
Steven W. Criscione United States
Nisha Narayan Australia
Christopher M. Gallo United States
Andrew Tae-Jun Kwon Canada
Jaehoon Lee South Korea
Marco Boccitto United States
Snehit Prabhu relative to Kevin Chen United States Kevin Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Snehit Prabhu

Since Specialization
Citations

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

Fields of papers citing papers by Snehit Prabhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Snehit Prabhu

This figure shows the co-authorship network connecting the top 25 collaborators of Snehit Prabhu. A scholar is included among the top collaborators of Snehit Prabhu 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 Snehit Prabhu. Snehit Prabhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 0
3
Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification frameworkbreakdown →
279
4 83
5 54
6 185
7 5

About Snehit Prabhu

Snehit Prabhu is a scholar working on Aging, Management Information Systems and Hematology, having authored 7 papers that have together received 606 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (2 papers) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Aging (92 citations), Genetics (335 citations) and Molecular Biology (349 citations). Snehit Prabhu has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Itsik Pe’er, Kenneth M. Boucher, Steven M. Harrison, Leslie G. Biesecker, Robert L. Nussbaum, Sean V. Tavtigian, Marc S. Greenblatt, Oliver Hobert, Sumeet Sarin and M O’Meara. Their work appears in journals such as Blood, Nature Methods and Cancer Research.

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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