Shalini Dogra

814 citations
28 papers · 617 indexed · h-index 15
Topics
Receptor Mechanisms and Signaling (15 papers)Neuroscience and Neuropharmacology Research (8 papers)Neuropeptides and Animal Physiology (7 papers)
Partner nations
IndiaUnited StatesItaly

In The Last Decade

Shalini Dogra

26 papers receiving 615 citations

Peers

Shalini Dogra
Comparison fields: 5 of 79
  • Molecular Biology 346
  • Cellular and Molecular Neuroscience 285
  • Endocrinology, Diabetes and Metabolism 68
  • Physiology 64
  • Pharmacology 60
Replace Mayako Yamazaki with:
Mayako Yamazaki Japan
Carlo Corona United States
Yasuharu Shinoda Japan
Rebekah S. Vest United States
Xinyan Huang United States
Ilse Lenaerts Belgium
Shu-Tao Xie China
Hou Yan-ning China
Reddy Peera Kommaddi India
Chiara Lucchi Italy
Shalini Dogra relative to Mayako Yamazaki Japan Mayako Yamazaki's profile →
Citations per field
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Mayako Yamazaki · 1×
Citations per year

Countries citing papers authored by Shalini Dogra

Since Specialization
Citations

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

Fields of papers citing papers by Shalini Dogra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shalini Dogra

This figure shows the co-authorship network connecting the top 25 collaborators of Shalini Dogra. A scholar is included among the top collaborators of Shalini Dogra 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 Shalini Dogra. Shalini Dogra 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 1
2 1
3 0
4 13
5 8
6 36
7 48
8 9
9 7
10 31
11 22
12 38
13 36
14 83
15 13
16 22
17 12
18 41
19 27
20 17

About Shalini Dogra

Shalini Dogra is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Cognitive Neuroscience, having authored 28 papers that have together received 617 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Biological Psychiatry (54 citations), Cellular and Molecular Neuroscience (285 citations) and Behavioral Neuroscience (27 citations). Shalini Dogra has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Prem N. Yadav, P. Jeffrey Conn, Ajeet Kumar, Eshan Ghosh, Punita Kumari, Arun K. Shukla, Ashish Srivastava, Ravi Ranjan, Max E. Joffe and Aneeta Patel. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Nature Nanotechnology.

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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