Nidhi Jatana

423 citations
17 papers · 262 indexed · h-index 10
Topics
Computational Drug Discovery Methods (5 papers)Receptor Mechanisms and Signaling (5 papers)Protein Structure and Dynamics (4 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBiochemistry
Partner nations
IndiaAustraliaGermany

In The Last Decade

Nidhi Jatana

16 papers receiving 257 citations

Peers

Nidhi Jatana
Comparison fields: 5 of 75
  • Molecular Biology 151
  • Epidemiology 53
  • Cell Biology 42
  • Pharmacology 30
  • Surgery 29
Replace Benjamin Tweel with:
Benjamin Tweel United States
Xiaodan Ni United States
Kean-Hooi Ang United States
Sankarganesh Jeyaraj Germany
Rajan Vyas India
Nanda G. Aduri Denmark
Riccardo Miggiano Italy
Irene G. Salado Spain
Helder Veras Ribeiro Filho Brazil
John G. Mina United Kingdom
Nidhi Jatana relative to Benjamin Tweel United States Benjamin Tweel's profile →
Citations per field
00.5×1.5×2.3×
Benjamin Tweel · 1×
Citations per year

Countries citing papers authored by Nidhi Jatana

Since Specialization
Citations

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

Fields of papers citing papers by Nidhi Jatana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nidhi Jatana

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 11
2 0
3 14
4 51
5 2
6 6
7 48
8 31
9 11
10 6
11 4
12 27
13 6
14 11
15
Inhibitors of Catechol-O-Methyl Transferase in the Treatment of Neurological Disorders.
1
16 15
17 18

About Nidhi Jatana

Nidhi Jatana is a scholar working on Biological Psychiatry, Computational Theory and Mathematics and Biochemistry, having authored 17 papers that have together received 262 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Receptor Mechanisms and Signaling (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Biochemistry (26 citations), Cell Biology (42 citations) and Physiology (10 citations). Nidhi Jatana has collaborated with scholars based in India, Australia and Germany. Frequent co-authors include Lipi Thukral, Latha Narayanan, Ngee Kiat Chua, David B. Ascher, Rajesh S. Gokhale, Andrew J. Brown, Arjun Ray, Douglas E. V. Pires, Vicky Howe and Anil K. Tyagi. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Biochemistry.

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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