Shankar D Pathak

184 papers receiving 10.3k citations

Shankar D Pathak's Hit Papers

Genome-wide atlas of gene expression in the adult mouse brain 2006 · 4.4k citations
4.4k0+12+25Years since publication10002.0k3.0k4.0k

Peers

Shankar D Pathak
Comparison fields: 5 of 218
  • Developmental Neuroscience 449
  • Cellular and Molecular Neuroscience 1.8k
  • Endocrine and Autonomic Systems 461
  • Biophysics 394
  • Cognitive Neuroscience 1.3k
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Citations per year

Countries citing papers authored by Shankar D Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Shankar D Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shankar D Pathak. 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 Shankar D Pathak. The network helps show where Shankar D Pathak may publish in the future.

Co-authors

The 25 scholars most cited alongside Shankar D Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shankar D Pathak Line = papers co-authored together Shankar D Pathak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-wide atlas of gene expression in the adult mouse brain
Hit paper breakdown →
20064418
2
Developing Instruments for Cross-Cultural Psychiatric Research
Hit paper breakdown →
1988686
3 2007406
4 2008329
5 2008316
6 2000237
7 2009227
8 2002212
9 2013202
10 2006159
11 2014148
12 2000144
13 2000143
14 2008126
15 2004122
16 2017115
17 200793
18 198390
19 200886
20 199281

About Shankar D Pathak

Shankar D Pathak is a scholar working on Geriatrics and Gerontology, Computer Vision and Pattern Recognition, Economics and Econometrics, Statistical and Nonlinear Physics and Nuclear and High Energy Physics, having authored 198 papers that have together received 10.7k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Health Systems, Economic Evaluations, Quality of Life (19 papers), Pharmaceutical Practices and Patient Outcomes (18 papers), Cosmology and Gravitation Theories (16 papers), Black Holes and Theoretical Physics (15 papers), Tribology and Wear Analysis (9 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Pharmaceutical Economics and Policy (9 papers). The work is most often cited by research in Developmental Neuroscience (449 citations), Cellular and Molecular Neuroscience (1.8k citations), Endocrine and Autonomic Systems (461 citations), Biophysics (394 citations) and Cognitive Neuroscience (1.3k citations). Shankar D Pathak has collaborated with scholars based in United States, India and Thailand. Frequent co-authors include F. Moises Gaviria, Joseph A. Flaherty, Ronald M. Wintrob, Timothy F. Mitchell, Susan Birz, Judith A. Richman, David R. Haynor, William J. Sawaya, Mehmet Murat Kristal and Jamison M. Day. Their work appears in journals such as American Journal of Health-System Pharmacy, Annals of Pharmacotherapy, Materials Science and Engineering A, IEEE Transactions on Medical Imaging and Journal of Management.

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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