Chitra Krishnan

50 papers receiving 3.2k citations

Chitra Krishnan's Hit Papers

Neuroglial activation and neuroinflammation in the brain of patients with autism 2004 · 1.6k citations
1.6k0+7+14Years since publication50010001.5k

Peers

Chitra Krishnan
Comparison fields: 5 of 154
  • Developmental Neuroscience 340
  • Cognitive Neuroscience 1.0k
  • Biological Psychiatry 118
  • Neurology 332
  • Neurology 576
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Stephen Lake United States
Thomas Hampton United States
Yun-Qing Li China
Ken Inoue Japan
Christopher T. Bever United States
Walter Hader Canada
Chiara Maria Mazzanti Italy
Jeremy Chataway United Kingdom
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Anne S. Bassett Canada
Chitra Krishnan relative to Stephen Lake United States Stephen Lake's profile →
Citations per field
00.5×4.6×
Stephen Lake · 1×
Citations per year

Countries citing papers authored by Chitra Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by Chitra Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chitra Krishnan, 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 Chitra Krishnan Line = papers co-authored together Chitra Krishnan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neuroglial activation and neuroinflammation in the brain of patients with autism
Hit paper breakdown →
20041603
2 2006203
3 2003186
4 2004184
5 2007132
6 200596
7 200486
8 200484
9 200777
10 200875
11 200865
12 200464
13 200359
14 200652
15 202234
16 200533
17 201032
18 200132
19 201628
20 200523

About Chitra Krishnan

Chitra Krishnan is a scholar working on Pathology and Forensic Medicine, Neurology, Sociology and Political Science, General Health Professions and Molecular Biology, having authored 55 papers that have together received 3.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), Peripheral Neuropathies and Disorders (7 papers), Digital Marketing and Social Media (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Nerve injury and regeneration (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Global Maternal and Child Health (3 papers). The work is most often cited by research in Developmental Neuroscience (340 citations), Cognitive Neuroscience (1.0k citations), Biological Psychiatry (118 citations), Neurology (332 citations) and Neurology (576 citations). Chitra Krishnan has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Carlos A. Pardo, Andrew W. Zimmerman, Caterina Nascimbene, Diana Vargas, Douglas A. Kerr, Jeffrey D. Rothstein, Adam Kaplin, Deepa Deshpande, Sonny Dike and Thomas O. Crawford. Their work appears in journals such as Neurology, Spinal Cord, Journal of Neuroscience, Annals of Neurology and Multiple Sclerosis and Related Disorders.

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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