Krishna Mohan Das

1.2k citations
22 papers · 624 indexed · 1 hit paper · h-index 10
Topics
Catalytic C–H Functionalization Methods (7 papers)Catalytic Cross-Coupling Reactions (3 papers)Lipid metabolism and biosynthesis (3 papers)

In The Last Decade

Krishna Mohan Das

18 papers receiving 615 citations

Hit Papers

An open-source drug discovery platform enables ultra-larg...20202026202220242020100200300

Peers

Krishna Mohan Das
Comparison fields: 5 of 106
  • Molecular Biology 377
  • Computational Theory and Mathematics 245
  • Materials Chemistry 105
  • Organic Chemistry 88
  • Biochemistry 55
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Sarah Barelier France
Cornelia Bellamacina United States
Antonija Kuzmanic United Kingdom
Hayarpi Torosyan United States
O.V. Gnedenko Russia
Natesh Singh France
Sridhar Sreeramulu Germany
Arindam Talukdar India
Kalaimathy Singaravelu Finland
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Citations per field
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Citations per year

Countries citing papers authored by Krishna Mohan Das

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Mohan Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krishna Mohan Das. 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 Krishna Mohan Das. The network helps show where Krishna Mohan Das may publish in the future.

Co-authorship network of co-authors of Krishna Mohan Das

This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Mohan Das. A scholar is included among the top collaborators of Krishna Mohan Das 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 Krishna Mohan Das. Krishna Mohan Das 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
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2 4
3 1
4 0
5 2
6 12
7 10
8 5
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An open-source drug discovery platform enables ultra-large virtual screensbreakdown →
395
10 24
11 11
12 6
13 57
14 19
15 10
16 1
17 27
18 27
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About Krishna Mohan Das

Krishna Mohan Das is a scholar working on Filtration and Separation, Biochemistry and Organic Chemistry, having authored 22 papers that have together received 624 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (7 papers), Catalytic Cross-Coupling Reactions (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (245 citations), Biochemistry (55 citations) and Molecular Biology (377 citations). Krishna Mohan Das has collaborated with scholars based in India, United States and Austria. Frequent co-authors include Gerhard Wagner, Zifu Wang, Konstantin Fackeldey, Christoph Gorgulla, Dmytro S. Radchenko, Haribabu Arthanari, Yurii S. Moroz, Moritz Hoffmann, Andras Boeszoermenyi and David A. Scott. Their work appears in journals such as Nature, PLoS ONE and Chemical Communications.

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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