Surender Singh Jadav

2.6k citations
90 papers · 1.9k indexed · 1 hit paper · h-index 23

Surender Singh Jadav

87 papers receiving 1.9k citations

Hit Papers

Machine Learning in Drug Discovery: A Review20212026202220242021100200300400

Peers

Surender Singh Jadav
Comparison fields: 5 of 130
  • Organic Chemistry 1.1k
  • Molecular Biology 634
  • Computational Theory and Mathematics 399
  • Pharmacology 160
  • Infectious Diseases 121
Replace Mohamed Jawed Ahsan with:
Mohamed Jawed Ahsan India
Yaseen A. M. M. Elshaier Egypt
Yan A. Ivanenkov Russia
Bruno J. Neves Brazil
Kai‐Cheng Hsu Taiwan
Abhinav Grover India
Vinícius Gonçalves Maltarollo Brazil
Floriano Paes Silva Brazil
Ashfaq Ur Rehman Pakistan
H. C. Stephen Chan China
Surender Singh Jadav relative to Mohamed Jawed Ahsan India Mohamed Jawed Ahsan's profile →
Citations per field
00.5×1.5×
Mohamed Jawed Ahsan · 1×
Citations per year

Countries citing papers authored by Surender Singh Jadav

Since Specialization
Citations

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

Fields of papers citing papers by Surender Singh Jadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Surender Singh Jadav. 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 Surender Singh Jadav. The network helps show where Surender Singh Jadav may publish in the future.

Co-authorship network of co-authors of Surender Singh Jadav

This figure shows the co-authorship network connecting the top 25 collaborators of Surender Singh Jadav. A scholar is included among the top collaborators of Surender Singh Jadav 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 Surender Singh Jadav. Surender Singh Jadav 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 2
3 1
4 7
5 8
6 4
7 17
8 11
9 0
10 2
11 8
12 2
13 8
14 19
15 35
16 34
17 19
18 41
19 10
20 52

About Surender Singh Jadav

Surender Singh Jadav is a scholar working on Organic Chemistry, Toxicology and Computational Theory and Mathematics, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Synthesis and biological activity (45 papers), Synthesis and Biological Evaluation (23 papers) and Cancer therapeutics and mechanisms (12 papers). The work is most often cited by research in Organic Chemistry (1.1k citations), Toxicology (108 citations) and Computational Theory and Mathematics (399 citations). Surender Singh Jadav has collaborated with scholars based in India, Saudi Arabia and France. Frequent co-authors include Mohamed Jawed Ahsan, Suresh Dara, Ch. Madhu Babu, Reddymasu Sreenivasulu, Venkatesan Jayaprakash, Rudraraju Ramesh Raju, Sabina Yasmin, Barij Nayan Sinha, C. Ganesh Kumar and Pombala Sujitha. Their work appears in journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and Molecules.

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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