K. Brajesh

1.7k citations
20 papers · 1.1k · h-index 16

Impact in

Papers in

    • Protein Structure and Dynamics 9
    • Porphyrin Metabolism and Disorders 3
    • RNA and protein synthesis mechanisms 2
    • Enzyme Structure and Function 6
    • Machine Learning in Materials Science 3

K. Brajesh

20 papers receiving 1.1k citations

Peers

K. Brajesh
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 475
  • Molecular Biology 725
  • Pharmacology 95
  • Materials Chemistry 251
  • Pharmacology 46
Replace Ying Gao with:
Ying Gao China
Stefan Geschwindner Sweden
A. Kuglstatter Switzerland
Paul Beroza United States
Manuel Rueda Spain
Tom Young United States
Giorgio Saladino United Kingdom
Johan Ulander Sweden
Maria M. Flocco Italy
Chung F. Wong United States
K. Brajesh relative to Ying Gao China Ying Gao's profile →
Citations per field
00.5×1.7×
Ying Gao · 1×
Citations per year

Countries citing papers authored by K. Brajesh

Since Specialization
Citations

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

Fields of papers citing papers by K. Brajesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Brajesh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Brajesh Line = papers co-authored together K. Brajesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2009354
2 2011123
3 2015113
4 200773
5 200656
6 201343
7 200341
8 200239
9 201838
10 202232
11 201331
12 200629
13 200228
14 200924
15 201923
16 202317
17 201515
18 202312
19 201212
20 20058

About K. Brajesh

K. Brajesh is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Condensed Matter Physics and Organic Chemistry, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (7 papers), Enzyme Structure and Function (6 papers), Crystallography and Radiation Phenomena (3 papers), Machine Learning in Materials Science (3 papers), Porphyrin Metabolism and Disorders (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (475 citations), Molecular Biology (725 citations), Pharmacology (95 citations), Materials Chemistry (251 citations) and Pharmacology (46 citations). K. Brajesh has collaborated with scholars based in United States and Hungary. Frequent co-authors include Christine Humblet, Kristi Fan, Junaid Baber, Yongbo Hu, David C. Thompson, Jason B. Cross, András Fiser, Enoch S. Huang, Eric B. Fauman and Elizabeth A. Lunney. Their work appears in journals such as Journal of Chemical Information and Modeling, Proteins Structure Function and Bioinformatics, Bioinformatics, The Journal of Physical Chemistry B and Scientific Reports.

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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