Rajan Anand

16 total papers · 467 total citations
5 papers, 164 citations indexed

About

Rajan Anand is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Rheumatology. According to data from OpenAlex, Rajan Anand has authored 5 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Rajan Anand's work include Computational Drug Discovery Methods (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Rajan Anand is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). Rajan Anand collaborates with scholars based in United States. Rajan Anand's co-authors include James M. Trzăskos, Maryanne Covington, Rui‐Qin Liu, Zhonghui Lu, James J.‐W. Duan, Mingxin Qian, Robert Newton, Gregory R. Ott, David D. Christ and Krishna Vaddi and has published in prestigious journals such as Bioorganic & Medicinal Chemistry Letters, ChemBioChem and ACS Medicinal Chemistry Letters.

In The Last Decade

Rajan Anand

5 papers receiving 163 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rajan Anand 101 61 23 15 14 5 164
Anita J. Kempf-Grote 110 1.1× 108 1.8× 44 1.9× 9 0.6× 13 0.9× 6 244
Takashi Imada 84 0.8× 98 1.6× 16 0.7× 19 1.3× 6 0.4× 9 241
Shuqun Lin 95 0.9× 75 1.2× 25 1.1× 25 1.7× 9 0.6× 9 194
Kenneth J. Stauffer 59 0.6× 77 1.3× 41 1.8× 7 0.5× 5 0.4× 7 164
Songfeng Lu 103 1.0× 113 1.9× 24 1.0× 9 0.6× 8 0.6× 7 244
Liesbet van der Helm 36 0.4× 91 1.5× 39 1.7× 9 0.6× 8 0.6× 6 251
C. Hamlett 66 0.7× 121 2.0× 15 0.7× 28 1.9× 3 0.2× 5 186
Melinda Broward 73 0.7× 117 1.9× 62 2.7× 13 0.9× 9 0.6× 10 229
Leslie Leith 66 0.7× 69 1.1× 51 2.2× 11 0.7× 5 0.4× 8 166
Robert Dally 83 0.8× 86 1.4× 28 1.2× 24 1.6× 3 0.2× 11 249

Countries citing papers authored by Rajan Anand

Since Specialization
Citations

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

Fields of papers citing papers by Rajan Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajan Anand

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

All Works

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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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