Sandeep Sundriyal

1.1k total citations
40 papers, 812 citations indexed

About

Sandeep Sundriyal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sandeep Sundriyal has authored 40 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sandeep Sundriyal's work include Computational Drug Discovery Methods (11 papers), Malaria Research and Control (8 papers) and Chemical Synthesis and Analysis (5 papers). Sandeep Sundriyal is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Malaria Research and Control (8 papers) and Chemical Synthesis and Analysis (5 papers). Sandeep Sundriyal collaborates with scholars based in India, United Kingdom and United States. Sandeep Sundriyal's co-authors include Prasad V. Bharatam, Rahul Jain, Yongcheng Song, Rohit Sharma, Matthew J. Fuchter, Lisheng Deng, C.D. Goodman, Geoffrey I. McFadden, Justin L. Anglin and Carrie F. Brooks and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The Journal of Physical Chemistry B.

In The Last Decade

Sandeep Sundriyal

38 papers receiving 802 citations

Peers

Sandeep Sundriyal
Comparison fields: 5 of 89
  • Molecular Biology 422
  • Organic Chemistry 227
  • Public Health, Environmental and Occupational Health 118
  • Computational Theory and Mathematics 95
  • Epidemiology 94
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Christiane Deregnaucourt France
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Citations per field, relative to Sandeep Sundriyal
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Citations per year, relative to Sandeep Sundriyal
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Countries citing papers authored by Sandeep Sundriyal

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Sundriyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Sundriyal

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Sundriyal. A scholar is included among the top collaborators of Sandeep Sundriyal 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 Sandeep Sundriyal. Sandeep Sundriyal 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 0
2 0
3 2
4 4
5 1
6 2
7 4
8 2
9 11
10 15
11 2
12 16
13 31
14 34
15 118
16 11
17 16
18 15
19 70
20 9

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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