Sudha Rajamani

76 total papers · 2.1k total citations
39 papers, 1.4k citations indexed

About

Sudha Rajamani is a scholar working on Astronomy and Astrophysics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sudha Rajamani has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Astronomy and Astrophysics, 30 papers in Molecular Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sudha Rajamani's work include Origins and Evolution of Life (33 papers), RNA and protein synthesis mechanisms (12 papers) and Photoreceptor and optogenetics research (12 papers). Sudha Rajamani is often cited by papers focused on Origins and Evolution of Life (33 papers), RNA and protein synthesis mechanisms (12 papers) and Photoreceptor and optogenetics research (12 papers). Sudha Rajamani collaborates with scholars based in India, United States and France. Sudha Rajamani's co-authors include Anthony L. Fink, Min Zhu, Joanna J. Kaylor, Feimeng Zhou, Shubo Han, David W. Deamer, Felix Olasagasti, Vladimir N. Uversky, Alexander V. Vlassov and Jie Li and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Sudha Rajamani

33 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Sudha Rajamani 760 642 319 299 283 39 1.4k
Moran Frenkel‐Pinter 822 1.1× 347 0.5× 275 0.9× 120 0.4× 210 0.7× 35 1.3k
Giorgia Botta 570 0.8× 486 0.8× 43 0.1× 15 0.1× 170 0.6× 35 1.4k
Parvana Hajieva 795 1.0× 19 0.0× 220 0.7× 71 0.2× 111 0.4× 39 1.2k
Andrei Leonov 705 0.9× 9 0.0× 416 1.3× 513 1.7× 309 1.1× 55 1.7k
Masataka Oishi 444 0.6× 22 0.0× 509 1.6× 28 0.1× 156 0.6× 39 1.2k
Kilian W. Conde‐Frieboes 959 1.3× 41 0.1× 189 0.6× 12 0.0× 140 0.5× 33 1.4k
Jumpei Sasabe 762 1.0× 9 0.0× 302 0.9× 159 0.5× 346 1.2× 39 1.6k
Clara Iannuzzi 965 1.3× 7 0.0× 467 1.5× 156 0.5× 248 0.9× 50 1.8k
A. Jasaitis 1.3k 1.6× 32 0.0× 134 0.4× 14 0.0× 502 1.8× 27 1.7k
Tomoya Kinumi 941 1.2× 6 0.0× 182 0.6× 262 0.9× 285 1.0× 62 1.8k

Countries citing papers authored by Sudha Rajamani

Since Specialization
Citations

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

Fields of papers citing papers by Sudha Rajamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudha Rajamani

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