Sudha Veeraraghavan

1.4k citations
19 papers · 503 indexed · h-index 13
Topics
Protein Structure and Dynamics (4 papers)Signaling Pathways in Disease (4 papers)14-3-3 protein interactions (4 papers)

In The Last Decade

Sudha Veeraraghavan

19 papers receiving 493 citations

Peers

Sudha Veeraraghavan
Comparison fields: 5 of 85
  • Molecular Biology 346
  • Cell Biology 216
  • Oncology 74
  • Cancer Research 39
  • Hematology 37
Replace Achim Möller with:
Achim Möller Germany
M. Randal United States
Ikuko Hayashi Japan
Barbara J. Bormann United States
Ivan Correia United States
Jay M. Jones United States
E. Papagrigoriou United Kingdom
Sebastian Koch Germany
Nethaji Thiyagarajan United Kingdom
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Sudha Veeraraghavan relative to Achim Möller Germany Achim Möller's profile →
Citations per field
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Achim Möller · 1×
Citations per year

Countries citing papers authored by Sudha Veeraraghavan

Since Specialization
Citations

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

Fields of papers citing papers by Sudha Veeraraghavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudha Veeraraghavan

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 12
2 49
3 11
4 3
5 16
6 111
7 18
8 19
9
Mutations in alpha- and beta-tubulin that stabilize microtubules and confer resistance to colcemid and vinblastine.
73
10 56
11 20
12 6
13 15
14 12
15 24
16 12
17 19
18 2
19 25

About Sudha Veeraraghavan

Sudha Veeraraghavan is a scholar working on Cell Biology, Hematology and Molecular Biology, having authored 19 papers that have together received 503 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Signaling Pathways in Disease (4 papers) and 14-3-3 protein interactions (4 papers). The work is most often cited by research in Cell Biology (216 citations), Molecular Biology (346 citations) and Hematology (37 citations). Sudha Veeraraghavan has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Diana C. Albarado, Fernando Cabral, Asokan Anbanandam, Yaqing Wang, Xiaolian Gao, Barry T. Nall, Georg Halder, Catherine T. Nguyen, Malathi Hari and James Baleja. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

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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