Sunil Prasannan

638 total citations
10 papers, 480 citations indexed

About

Sunil Prasannan is a scholar working on Molecular Biology, Materials Chemistry and Endocrinology. According to data from OpenAlex, Sunil Prasannan has authored 10 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Endocrinology. Recurrent topics in Sunil Prasannan's work include Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers) and Escherichia coli research studies (3 papers). Sunil Prasannan is often cited by papers focused on Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers) and Escherichia coli research studies (3 papers). Sunil Prasannan collaborates with scholars based in United Kingdom, France and United States. Sunil Prasannan's co-authors include Stephen Matthews, Keiran Fleming, Derek G. Gray, Gordon Dougan, Ian F. Connerton, R. Bryn Fenwick, Darerca Owen, Daniel Nietlispach, Helen R. Mott and Louise J. Campbell and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Molecular Microbiology.

In The Last Decade

Sunil Prasannan

10 papers receiving 471 citations

Peers

Sunil Prasannan

MB

ENDOC

PHYSI

GENET

BIOCH

Y. Eshdat Israel

Claire Lesieur France

Tae Hyun Park South Korea

Karunakar R. Pothula Germany

Eaazhisai Kandiah France

Anju Sreelatha United States

Matthew P. Badtke United States

Silke Seeber Germany

Alexander Neuhaus Germany

Russell Jarrott Australia

Y. Eshdat Israel

Sunil Prasannan

355 ×1.6

MB

104 ×1.0

ENDOC

127 ×1.8

PHYSI

63 ×0.9

GENET

12 ×0.2

BIOCH

Citations per year, relative to Sunil Prasannan Sunil Prasannan (= 1×) peers Y. Eshdat

Countries citing papers authored by Sunil Prasannan

Since Specialization

Citations

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

Fields of papers citing papers by Sunil Prasannan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunil Prasannan

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

All Works

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10 of 10 papers shown

1.

Barneda, David, Joan Planas-Iglesias, María L. Gaspar, et al.. (2015). The brown adipocyte protein CIDEA promotes lipid droplet fusion via a phosphatidic acid-binding amphipathic helix. eLife. 4. e07485–e07485. 111 indexed citations

2.

Fenwick, R. Bryn, Louise J. Campbell, Sunil Prasannan, et al.. (2010). The RalB-RLIP76 Complex Reveals a Novel Mode of Ral-Effector Interaction. Structure. 18(8). 985–995. 39 indexed citations

3.

Fenwick, R. Bryn, Sunil Prasannan, Louise J. Campbell, et al.. (2009). Solution Structure and Dynamics of the Small GTPase RalB in Its Active Conformation: Significance for Effector Protein Binding. Biochemistry. 48(10). 2192–2206. 41 indexed citations

4.

Fenwick, R. Bryn, Sunil Prasannan, Louise J. Campbell, et al.. (2008). Resonance assignments for the RLIP76 Ral binding domain in its free form and in complex with the small G protein RalB. Biomolecular NMR Assignments. 2(2). 191–194. 2 indexed citations

5.

Fenwick, R. Bryn, Sunil Prasannan, Louise J. Campbell, et al.. (2008). 1H, 13C and 15N resonance assignments for the active conformation of the small G protein RalB in complex with its effector RLIP76. Biomolecular NMR Assignments. 2(2). 179–182. 3 indexed citations

6.

Prasannan, Sunil, R. Bryn Fenwick, Louise J. Campbell, et al.. (2007). 1H, 13C, and 15N resonance assignments for the small G protein RalB in its active conformation. Biomolecular NMR Assignments. 1(1). 147–149. 7 indexed citations

7.

Crepin, Valérie F., Sunil Prasannan, Rebecca K. Wilson, et al.. (2005). Structural and functional studies of the enteropathogenic Escherichia coli type III needle complex protein EscJ. Molecular Microbiology. 55(6). 1658–1670. 37 indexed citations

8.

Fleming, Keiran, Derek G. Gray, Sunil Prasannan, & Stephen Matthews. (2000). Cellulose Crystallites: A New and Robust Liquid Crystalline Medium for the Measurement of Residual Dipolar Couplings. Journal of the American Chemical Society. 122(21). 5224–5225. 100 indexed citations

9.

Matthews, Stephen, et al.. (1999). Structure of the cell-adhesion fragment of intimin from enteropathogenic Escherichia coli.. Nature Structural Biology. 6(4). 313–318. 133 indexed citations

10.

Prasannan, Sunil, Sarah J. Daniell, Gad Frankel, et al.. (1998). Sequential assignment of the triple labelled 30.1 kDa cell-adhesion domain of intimin from enteropathogenic E.coli. Journal of Biomolecular NMR. 12(1). 189–191. 7 indexed citations

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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