Manish K. Jain

1.2k citations
15 papers · 527 indexed · 2 hit papers · h-index 8
Topics
Receptor Mechanisms and Signaling (8 papers)Neuroscience and Neuropharmacology Research (5 papers)Chemical Synthesis and Analysis (2 papers)
Partner nations
United StatesIndiaChina

In The Last Decade

Manish K. Jain

14 papers receiving 518 citations

Hit Papers

Synthon-based ligand discovery in virtual libraries of ov...20212026202220242021202350100150200250

Peers

Manish K. Jain
Comparison fields: 5 of 90
  • Molecular Biology 305
  • Computational Theory and Mathematics 148
  • Cellular and Molecular Neuroscience 142
  • Organic Chemistry 62
  • Materials Chemistry 56
Replace Agnieszka Olejarz‐Maciej with:
Agnieszka Olejarz‐Maciej Poland
Mansoor Chishty United Kingdom
Sijie Huang China
Kamil Kuder Poland
Maciej Maj Poland
Tadeusz Karcz Poland
Qinghong Liao China
Samuele Maramai Italy
Julie C. Barnes United Kingdom
Haibo Yu China
Manish K. Jain relative to Agnieszka Olejarz‐Maciej Poland Agnieszka Olejarz‐Maciej's profile →
Citations per field
00.5×20×40×56×
Agnieszka Olejarz‐Maciej · 1×
Citations per year

Countries citing papers authored by Manish K. Jain

Since Specialization
Citations

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

Fields of papers citing papers by Manish K. Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish K. Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Manish K. Jain. A scholar is included among the top collaborators of Manish K. Jain 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 Manish K. Jain. Manish K. Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 10
3 43
4
Structures of the entire human opioid receptor familybreakdown →
106
5 7
6 4
7 22
8
Synthon-based ligand discovery in virtual libraries of over 11 billion compoundsbreakdown →
254
9 1
10 1
11 19
12 2
13 3
14 33
15 22

About Manish K. Jain

Manish K. Jain is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Molecular Biology, having authored 15 papers that have together received 527 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (5 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (148 citations), Cellular and Molecular Neuroscience (142 citations) and Molecular Biology (305 citations). Manish K. Jain has collaborated with scholars based in United States, India and China. Frequent co-authors include Bryan L. Roth, Yongfeng Liu, Gavin P. Schmitz, Christos Iliopoulos‐Tsoutsouvas, Nikolai Zvonok, Fei Tong, Alexandros Makriyannis, Spyros P. Nikas, Arman A. Sadybekov and Dmytro S. Radchenko. Their work appears in journals such as Nature, Cell and Nature 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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2026