Rajkumar Sasidharan

5.6k citations
30 papers · 2.9k indexed · 1 hit paper · h-index 18
Topics
Genomics and Phylogenetic Studies (7 papers)RNA and protein synthesis mechanisms (5 papers)Zebrafish Biomedical Research Applications (4 papers)

In The Last Decade

Rajkumar Sasidharan

30 papers receiving 2.8k citations

Hit Papers

The Arabidopsis Information Resource (TAIR): improved gen...2011202620162021201150010001.5k

Peers

Rajkumar Sasidharan
Comparison fields: 5 of 113
  • Molecular Biology 2.1k
  • Plant Science 1.3k
  • Cell Biology 269
  • Genetics 259
  • Immunology 185
Replace Rachael P. Huntley with:
Rachael P. Huntley United Kingdom
Mary B. Moyer United States
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Pascal Falter‐Braun Germany
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Hua Lu United States
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Rajkumar Sasidharan relative to Rachael P. Huntley United Kingdom Rachael P. Huntley's profile →
Citations per field
00.5×1.7×
Rachael P. Huntley · 1×
Citations per year

Countries citing papers authored by Rajkumar Sasidharan

Since Specialization
Citations

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

Fields of papers citing papers by Rajkumar Sasidharan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajkumar Sasidharan

This figure shows the co-authorship network connecting the top 25 collaborators of Rajkumar Sasidharan. A scholar is included among the top collaborators of Rajkumar Sasidharan 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 Rajkumar Sasidharan. Rajkumar Sasidharan 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
#WorkIndexed citations
1 6
2 3
3 5
4 13
5 76
6 59
7 53
8 70
9 115
10 125
11 60
12 82
13 1
14 43
15 83
16 7
17
Infections Causing Human Cancer
2
18 2
19 61
20 66

About Rajkumar Sasidharan

Rajkumar Sasidharan is a scholar working on Hematology, Molecular Biology and Immunology, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Zebrafish Biomedical Research Applications (4 papers). The work is most often cited by research in Plant Science (1.3k citations), Molecular Biology (2.1k citations) and Cell Biology (269 citations). Rajkumar Sasidharan has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Eva Huala, David Swarbreck, Kate Dreher, Philippe Lamesch, Donghui Li, M. Garcia-Hernandez, Robert Müller, Shanker K. Singh, Tanya Berardini and Christopher Wilks. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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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