Deepti Karandur

29 total papers · 996 total citations
14 papers, 630 citations indexed

About

Deepti Karandur is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Immunology. According to data from OpenAlex, Deepti Karandur has authored 14 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Atomic and Molecular Physics, and Optics and 3 papers in Immunology. Recurrent topics in Deepti Karandur's work include Protein Structure and Dynamics (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). Deepti Karandur is often cited by papers focused on Protein Structure and Dynamics (5 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). Deepti Karandur collaborates with scholars based in United States, India and Canada. Deepti Karandur's co-authors include John Kuriyan, B. Montgomery Pettitt, Moitrayee Bhattacharyya, Sean M. Peterson, Megan J. Kaliszewski, Ehud Y. Isacoff, Yongjian Huang, Joshua C. Cofsky, Shashank Bharill and Jennifer A. Doudna and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Deepti Karandur

13 papers receiving 624 citations

Author Peers

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

Author						Papers	Cites
Deepti Karandur	513	86	76	75	48	14	630
Klaus Maier	429 0.8×	84 1.0×	38 0.5×	83 1.1×	102 2.1×	13	626
F. Inagaki	486 0.9×	83 1.0×	69 0.9×	82 1.1×	43 0.9×	21	590
Henry J. Nothnagel	380 0.7×	80 0.9×	72 0.9×	73 1.0×	85 1.8×	11	553
Anna Rutkowska	564 1.1×	48 0.6×	69 0.9×	52 0.7×	26 0.5×	17	634
Daniel M. Freed	333 0.6×	181 2.1×	58 0.8×	114 1.5×	42 0.9×	19	577
Anne V. Thomas	314 0.6×	44 0.5×	130 1.7×	105 1.4×	66 1.4×	16	628
Jason R. Porter	457 0.9×	45 0.5×	31 0.4×	102 1.4×	23 0.5×	13	652
Kaido Viht	510 1.0×	88 1.0×	53 0.7×	35 0.5×	18 0.4×	29	624
Khoon Tee Chong	527 1.0×	72 0.8×	111 1.5×	27 0.4×	38 0.8×	16	731
Karin Wieligmann	507 1.0×	39 0.5×	56 0.7×	68 0.9×	34 0.7×	12	688

Countries citing papers authored by Deepti Karandur

Since Specialization

Citations

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

Fields of papers citing papers by Deepti Karandur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Karandur

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