Anish Kejariwal

19.2k total citations · 1 hit paper
7 papers, 3.9k citations indexed

About

Anish Kejariwal is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Anish Kejariwal has authored 7 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Surgery. Recurrent topics in Anish Kejariwal's work include RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). Anish Kejariwal is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). Anish Kejariwal collaborates with scholars based in United States, United Kingdom and Canada. Anish Kejariwal's co-authors include Paul D. Thomas, Huaiyu Mi, Michael J. Campbell, Anushya Muruganujan, Apurva Narechania, Nan Guo, Rasmus Nielsen, Daniel Civello, Andrew G. Clark and Stephen Glanowski and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Anish Kejariwal

7 papers receiving 3.8k citations

Hit Papers

PANTHER: A Library of Pro... 2003 2026 2010 2018 2003 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anish Kejariwal United States 7 2.4k 1.0k 381 353 299 7 3.9k
Nila Patil United States 23 2.8k 1.2× 1.6k 1.5× 269 0.7× 242 0.7× 368 1.2× 29 4.5k
Alfredo Ciccodicola Italy 36 3.3k 1.3× 1.1k 1.1× 466 1.2× 220 0.6× 269 0.9× 101 4.4k
Adam Ameur Sweden 32 2.4k 1.0× 738 0.7× 485 1.3× 234 0.7× 264 0.9× 96 3.7k
Martin G. Reese United States 20 2.9k 1.2× 1.4k 1.4× 257 0.7× 234 0.7× 324 1.1× 25 4.4k
Jeffrey Rosenfeld United States 25 2.8k 1.1× 619 0.6× 288 0.8× 331 0.9× 237 0.8× 52 3.7k
Anders Lade Nielsen Denmark 31 3.1k 1.3× 801 0.8× 349 0.9× 567 1.6× 372 1.2× 116 4.3k
Eran Eden Israel 13 3.6k 1.5× 684 0.7× 522 1.4× 439 1.2× 231 0.8× 25 4.9k
Andreas Klingenhoff Germany 12 2.4k 1.0× 513 0.5× 503 1.3× 332 0.9× 262 0.9× 14 3.3k
Deborah A. O’Brien United States 36 2.7k 1.1× 1.4k 1.4× 179 0.5× 270 0.8× 206 0.7× 75 5.4k
P. Julien Switzerland 7 2.7k 1.1× 790 0.8× 345 0.9× 236 0.7× 422 1.4× 8 3.7k

Countries citing papers authored by Anish Kejariwal

Since Specialization
Citations

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

Fields of papers citing papers by Anish Kejariwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anish Kejariwal

This figure shows the co-authorship network connecting the top 25 collaborators of Anish Kejariwal. A scholar is included among the top collaborators of Anish Kejariwal 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 Anish Kejariwal. Anish Kejariwal 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
1.
Mi, Huaiyu, Nan Guo, Anish Kejariwal, & Paul D. Thomas. (2006). PANTHER version 6: protein sequence and function evolution data with expanded representation of biological pathways. Nucleic Acids Research. 35(Database). D247–D252. 303 indexed citations
2.
Thomas, Paul D., et al.. (2006). Applications for protein sequence-function evolution data: mRNA/protein expression analysis and coding SNP scoring tools. Nucleic Acids Research. 34(Web Server). W645–W650. 409 indexed citations
3.
Brunham, Liam R., Roshni R. Singaraja, Terry D. Pape, et al.. (2005). Accurate Prediction of the Functional Significance of Single Nucleotide Polymorphisms and Mutations in the ABCA1 Gene. PLoS Genetics. 1(6). e83–e83. 114 indexed citations
4.
Thomas, Paul D. & Anish Kejariwal. (2004). Coding single-nucleotide polymorphisms associated with complex vs. Mendelian disease: Evolutionary evidence for differences in molecular effects. Proceedings of the National Academy of Sciences. 101(43). 15398–15403. 218 indexed citations
5.
Clark, Andrew G., Stephen Glanowski, Rasmus Nielsen, et al.. (2003). Positive Selection in the Human Genome Inferred from Human-Chimp-Mouse Orthologous Gene Alignments. Cold Spring Harbor Symposia on Quantitative Biology. 68(0). 479–486. 32 indexed citations
6.
Thomas, Paul D., Michael J. Campbell, Anish Kejariwal, et al.. (2003). PANTHER: A Library of Protein Families and Subfamilies Indexed by Function. Genome Research. 13(9). 2129–2141. 2281 indexed citations breakdown →
7.
Clark, Andrew G., Stephen Glanowski, Rasmus Nielsen, et al.. (2003). Inferring Nonneutral Evolution from Human-Chimp-Mouse Orthologous Gene Trios. Science. 302(5652). 1960–1963. 495 indexed citations

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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