Nisha K. Ramakrishnan

27 papers receiving 594 citations

Peers

Nisha K. Ramakrishnan
Comparison fields: 5 of 74
  • Molecular Biology 401
  • Cellular and Molecular Neuroscience 190
  • Oncology 84
  • Radiology, Nuclear Medicine and Imaging 80
  • Organic Chemistry 65
Replace Chi-Chang Weng with:
Chi-Chang Weng United States
Anna A. Rybczynska Netherlands
Michelle L. Ganno United States
Chunyang Jin United States
Sandra Sanabria United States
Sac-Pham Tang United Kingdom
Robert Zimmer Switzerland
Lindsey Drake United States
Andrew D. Gribble United Kingdom
Paul Scott‐Stevens United Kingdom
Nisha K. Ramakrishnan relative to Chi-Chang Weng United States Chi-Chang Weng's profile →
Citations per field
00.5×10×13.7×
Chi-Chang Weng · 1×
Citations per year

Countries citing papers authored by Nisha K. Ramakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Nisha K. Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha K. Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha K. Ramakrishnan. A scholar is included among the top collaborators of Nisha K. Ramakrishnan 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 Nisha K. Ramakrishnan. Nisha K. Ramakrishnan 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 1
3 16
4 10
5 27
6
Analysis Of the Mechanism Of Action By Molecular Docking Studies Of One Ethno Veterinary Herbal Preparation Used In Bovine Mastitis
0
7 34
8 47
9 13
10 8
11 132
12
Altered Sigma-1 Receptor Expression in Two Animal Models of Cognitive Impairment
1
13 5
14 29
15 6
16 15
17
MicroPET scans of rodents with spontaneous pituitary tumors, using the sigma ligand C-11-SA4503
1
18 65
19 89
20 45

About Nisha K. Ramakrishnan

Nisha K. Ramakrishnan is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Developmental Neuroscience, having authored 29 papers that have together received 599 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (12 papers), Receptor Mechanisms and Signaling (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Biological Psychiatry (38 citations), Cellular and Molecular Neuroscience (190 citations) and Molecular Biology (401 citations). Nisha K. Ramakrishnan has collaborated with scholars based in Netherlands, Japan and United Kingdom. Frequent co-authors include Aren van Waarde, Philip H. Elsinga, Rudi Dierckx, Kiichi Ishiwata, Anna A. Rybczynska, Jürgen W. A. Sijbesma, Paul G.M. Luiten, Rudi Dierckx, Ingrid M. Nijholt and Csaba Nyakas. Their work appears in journals such as Journal of Medicinal Chemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes and Journal of Cerebral Blood Flow & Metabolism.

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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