Kapila Ratnam

22 total papers · 1.7k total citations
15 papers, 1.4k citations indexed

About

Kapila Ratnam is a scholar working on Molecular Biology, Cell Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kapila Ratnam has authored 15 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kapila Ratnam's work include Aldose Reductase and Taurine (7 papers), Prenatal Substance Exposure Effects (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Kapila Ratnam is often cited by papers focused on Aldose Reductase and Taurine (7 papers), Prenatal Substance Exposure Effects (3 papers) and Bacterial Genetics and Biotechnology (2 papers). Kapila Ratnam collaborates with scholars based in United States and Spain. Kapila Ratnam's co-authors include T.M. Penning, Haiching Ma, Jennifer A. Low, Joseph M. Jez, Margaret Moore, Michael E. Burczynski, Nisha Palackal, Chien‐Fu Hung, Russ Hille and Brian P. Schlegel and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical Journal.

In The Last Decade

Kapila Ratnam

15 papers receiving 1.4k citations

Hit Papers

Human 3α-hydroxysteroid d... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kapila Ratnam 636 574 461 220 216 15 1.4k
David R. Bauman 506 0.8× 623 1.1× 414 0.9× 119 0.5× 180 0.8× 18 1.4k
Michael C. Byrns 492 0.8× 386 0.7× 317 0.7× 52 0.2× 131 0.6× 16 1.2k
Jorge Domínguez 193 0.3× 562 1.0× 215 0.5× 213 1.0× 249 1.2× 24 1.7k
Wayne M. Geissler 197 0.3× 744 1.3× 773 1.7× 93 0.4× 587 2.7× 28 1.6k
Wesley D. Wicks 299 0.5× 1.0k 1.8× 252 0.5× 89 0.4× 150 0.7× 44 1.8k
John Dietschy 141 0.2× 593 1.0× 324 0.7× 277 1.3× 87 0.4× 19 1.7k
A Le Cam 257 0.4× 886 1.5× 286 0.6× 277 1.3× 119 0.6× 29 1.6k
Elisabetta De Marinis 217 0.3× 751 1.3× 118 0.3× 182 0.8× 204 0.9× 27 1.3k
Julian C. Desmond 205 0.3× 1.0k 1.8× 80 0.2× 261 1.2× 116 0.5× 25 1.7k
Banumathi K. Cole 276 0.4× 577 1.0× 246 0.5× 127 0.6× 119 0.6× 26 1.7k

Countries citing papers authored by Kapila Ratnam

Since Specialization
Citations

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

Fields of papers citing papers by Kapila Ratnam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapila Ratnam

This figure shows the co-authorship network connecting the top 25 collaborators of Kapila Ratnam. A scholar is included among the top collaborators of Kapila Ratnam 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 Kapila Ratnam. Kapila Ratnam 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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