Nemil Bhatt

1.6k citations
31 papers · 1.2k · h-index 15

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

Nemil Bhatt

30 papers receiving 1.2k citations

Peers

Nemil Bhatt
Comparison fields: 5 of 79
  • Neurology 277
  • Physiology 622
  • Biological Psychiatry 53
  • Neurology 173
  • Cellular and Molecular Neuroscience 183
Replace Nicha Puangmalai with:
Nicha Puangmalai United States
Seung Jae Hyeon South Korea
Salomé McAllen United States
Prasad Tammineni United States
Hyun Jin Cho South Korea
Jung A. Woo United States
Jaime Vaquer‐Alicea United States
Chunfeng Huo United States
Ulrike Obermüller Germany
Sue‐Ann Mok Canada
Nemil Bhatt relative to Nicha Puangmalai United States Nicha Puangmalai's profile →
Citations per field
00.5×1.6×
Nicha Puangmalai · 1×
Citations per year

Countries citing papers authored by Nemil Bhatt

Since Specialization
Citations

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

Fields of papers citing papers by Nemil Bhatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020204
2 2021163
3 2018107
4 2020102
5 201983
6 202081
7 202079
8 202069
9 202247
10 201943
11 201931
12 202029
13 202318
14 202216
15 202514
16 202214
17 202310
18 20238
19 20247
20 20206

About Nemil Bhatt

Nemil Bhatt is a scholar working on Physiology, Molecular Biology, Neurology, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (26 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Drug Discovery Methods (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Neurology (277 citations), Physiology (622 citations), Biological Psychiatry (53 citations), Neurology (173 citations) and Cellular and Molecular Neuroscience (183 citations). Nemil Bhatt has collaborated with scholars based in United States, Jordan and South Africa. Frequent co-authors include Rakez Kayed, Nicha Puangmalai, Urmi Sengupta, Mauro Montalbano, Salomé McAllen, Alice Bittar, Stephanie García, Anna Ellsworth, Sagar Gaikwad and Marcos J. Guerrero-Muñoz. Their work appears in journals such as Journal of Biological Chemistry, Molecular Neurobiology, Protein Science, Neurobiology of Disease and Brain Communications.

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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