Sheeja V. Vasudevan

13 total papers · 521 total citations
12 papers, 447 citations indexed

About

Sheeja V. Vasudevan is a scholar working on Molecular Biology, Organic Chemistry and Microbiology. According to data from OpenAlex, Sheeja V. Vasudevan has authored 12 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Microbiology. Recurrent topics in Sheeja V. Vasudevan's work include Lipid Membrane Structure and Behavior (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Antimicrobial Peptides and Activities (3 papers). Sheeja V. Vasudevan is often cited by papers focused on Lipid Membrane Structure and Behavior (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Antimicrobial Peptides and Activities (3 papers). Sheeja V. Vasudevan collaborates with scholars based in India and United States. Sheeja V. Vasudevan's co-authors include S.-W. Chiu, R. Jay Mashl, Eric Jakobsson, H. L. Scott, Sagar Pandit, Petety V. Balaji, Ashutosh Kumar, Wentao Zhao, Chunxian Cui and W. Gray Jerome and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Sheeja V. Vasudevan

11 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Sheeja V. Vasudevan	391	104	52	50	49	12	447
Juha-Pekka Mattila	377 1.0×	93 0.9×	64 1.2×	40 0.8×	53 1.1×	11	434
Peter Heftberger	431 1.1×	132 1.3×	52 1.0×	106 2.1×	40 0.8×	10	526
Xin-Min Li	438 1.1×	74 0.7×	68 1.3×	52 1.0×	82 1.7×	8	462
Allison D. Skinkle	423 1.1×	79 0.8×	31 0.6×	98 2.0×	53 1.1×	9	502
Alekos Tsamaloukas	442 1.1×	98 0.9×	155 3.0×	39 0.8×	22 0.4×	13	552
Laura Toppozini	365 0.9×	130 1.3×	59 1.1×	42 0.8×	72 1.5×	15	458
Saskia Bucciarelli	268 0.7×	44 0.4×	64 1.2×	66 1.3×	36 0.7×	17	508
Šárka Pokorná	378 1.0×	79 0.8×	32 0.6×	55 1.1×	21 0.4×	20	498
J.L. Ranck	433 1.1×	88 0.8×	117 2.3×	32 0.6×	24 0.5×	11	503
En-Shinn Wu	331 0.8×	118 1.1×	64 1.2×	139 2.8×	22 0.4×	10	496

Countries citing papers authored by Sheeja V. Vasudevan

Since Specialization

Citations

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

Fields of papers citing papers by Sheeja V. Vasudevan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheeja V. Vasudevan. 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 Sheeja V. Vasudevan. The network helps show where Sheeja V. Vasudevan may publish in the future.

Co-authorship network of co-authors of Sheeja V. Vasudevan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheeja V. Vasudevan. A scholar is included among the top collaborators of Sheeja V. Vasudevan 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 Sheeja V. Vasudevan. Sheeja V. Vasudevan 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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