Sekhar Talluri

872 citations
22 papers · 655 indexed · h-index 13
Topics
Protein Structure and Dynamics (6 papers)Computational Drug Discovery Methods (5 papers)Biochemical and Structural Characterization (3 papers)
Partner nations
IndiaUnited StatesChina

In The Last Decade

Sekhar Talluri

21 papers receiving 642 citations

Peers

Sekhar Talluri
Comparison fields: 5 of 91
  • Molecular Biology 410
  • Cellular and Molecular Neuroscience 91
  • Materials Chemistry 88
  • Cell Biology 63
  • Organic Chemistry 58
Replace James E. Matsuura with:
James E. Matsuura United States
Olga V. Stepanenko Russia
Dora Toledo Warshaviak United States
Duan Yang United States
Jean‐Marc Millot France
Coos Baakman Netherlands
Ruo‐Xu Gu China
Radhakrishnan Mahalakshmi India
Craig D. Thulin United States
Michele Seeber Italy
Sekhar Talluri relative to James E. Matsuura United States James E. Matsuura's profile →
Citations per field
00.5×4.3×
James E. Matsuura · 1×
Citations per year

Countries citing papers authored by Sekhar Talluri

Since Specialization
Citations

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

Fields of papers citing papers by Sekhar Talluri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sekhar Talluri

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 3
4 7
5 52
6 43
7 2
8 6
9 14
10 33
11 2
12 56
13 155
14 50
15 61
16 43
17 53
18 7
19 12
20 23

About Sekhar Talluri

Sekhar Talluri is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 22 papers that have together received 655 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (5 papers) and Biochemical and Structural Characterization (3 papers). The work is most often cited by research in Molecular Biology (410 citations), Cellular and Molecular Neuroscience (91 citations) and Sensory Systems (23 citations). Sekhar Talluri has collaborated with scholars based in India, United States and China. Frequent co-authors include Harold A. Scheraga, Rama Rao Malla, Aadra P. Bhatt, Dean P. Smith, David M. Rothwarf, Jon Clardy, Daniel Branton, Peili Zhang, Gerhard Wagner and Yvonne C. Meinwald. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Biochemistry.

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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