K. Sekar

3.4k total citations
181 papers, 2.7k citations indexed

About

K. Sekar is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, K. Sekar has authored 181 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Molecular Biology, 81 papers in Materials Chemistry and 22 papers in Organic Chemistry. Recurrent topics in K. Sekar's work include Enzyme Structure and Function (79 papers), Protein Structure and Dynamics (55 papers) and RNA and protein synthesis mechanisms (39 papers). K. Sekar is often cited by papers focused on Enzyme Structure and Function (79 papers), Protein Structure and Dynamics (55 papers) and RNA and protein synthesis mechanisms (39 papers). K. Sekar collaborates with scholars based in India, United States and Japan. K. Sekar's co-authors include M. Vijayan, S. S. Sheik, Avadhesha Surolia, Jeyaraman Jeyakanthan, A. Arockia Jeyaprakash, K. V. Gopalakrishnan, Shankar Prasad Kanaujia, M. Sundaralingam, Radhakrishnan Sabarinathan and Manickam Gurusaran and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

K. Sekar

171 papers receiving 2.6k citations

Peers

K. Sekar
Comparison fields: 5 of 140
  • Molecular Biology 2.0k
  • Materials Chemistry 544
  • Organic Chemistry 361
  • Genetics 245
  • Plant Science 189
Replace F. Niesen with:
F. Niesen United Kingdom
Ashley C. Stuart United States
Radka Svobodová Vařeková Czechia
Thomas S. Peat Australia
M. Cymborowski United States
Stefan Steinbacher Germany
Paweł Grochulski Canada
Xiayang Qiu United States
A.M.W.H. Thunnissen Netherlands
Ward W. Smith United States
F. Niesen United Kingdom View profile →
Citations per field, relative to K. Sekar
K. Sekar · 1×
Citations per year, relative to K. Sekar
K. Sekar · 1×

Countries citing papers authored by K. Sekar

Since Specialization
Citations

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

Fields of papers citing papers by K. Sekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Sekar

This figure shows the co-authorship network connecting the top 25 collaborators of K. Sekar. A scholar is included among the top collaborators of K. Sekar 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 K. Sekar. K. Sekar 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
# Work Indexed citations
1 1
2 1
3 1
4 3
5 2
6 1
7 7
8 19
9 4
10 3
11 1
12 7
13 7
14 5
15 6
16 3
17 22
18
BSDD-2.0: Biomolecules Segment Display Device ― An updated web accessible computing resource
1
19
An algorithm to find all identical internal sequence repeats
8
20
Ab Initio Structure Determination of the Triple Mutant (K53,56,121M) of Bovine Pancreatic Phospholipase A(2) at Atomic and High Resolution Using ACORN
0

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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