Odity Mukherjee

1.4k citations
35 papers · 795 · h-index 17

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism

Papers in

    • Pluripotent Stem Cells Research 6
    • CRISPR and Genetic Engineering 4
    • Mitochondrial Function and Pathology 3
    • Genetic Associations and Epidemiology 6
    • Genetics and Neurodevelopmental Disorders 2

Odity Mukherjee

35 papers receiving 781 citations

Peers

Odity Mukherjee
Comparison fields: 5 of 73
  • Neurology 243
  • Biological Psychiatry 25
  • Neurology 84
  • Psychiatry and Mental health 134
  • Physiology 212
Replace Juan José Poza with:
Juan José Poza Spain
Matthias Pawlowski Germany
Sanne S. Kaalund Denmark
Thiago Junqueira Ribeiro de Rezende Brazil
Beatrice Paradiso Italy
Mitsumoto Onaya Japan
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Citations per field
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Citations per year

Countries citing papers authored by Odity Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Odity Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006145
2 200864
3 200962
4 201654
5 201544
6 200742
7 200942
8 200740
9 200726
10 200622
11 201822
12 201019
13 200119
14 201219
15 201018
16 200917
17 201017
18 201714
19 201213
20 201413

About Odity Mukherjee

Odity Mukherjee is a scholar working on Molecular Biology, Genetics, Physiology, Cellular and Molecular Neuroscience and Neurology, having authored 35 papers that have together received 795 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Pluripotent Stem Cells Research (6 papers), Genetic Associations and Epidemiology (6 papers), Genetic Neurodegenerative Diseases (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), CRISPR and Genetic Engineering (4 papers), Mitochondrial Function and Pathology (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Neurology (243 citations), Biological Psychiatry (25 citations), Neurology (84 citations), Psychiatry and Mental health (134 citations) and Physiology (212 citations). Odity Mukherjee has collaborated with scholars based in India, United States and Brazil. Frequent co-authors include Sanjeev Jain, Meera Purushottam, Alison Goate, Samir K. Brahmachari, Michael A. Gitcho, Nigel J. Cairns, Lisa Taylor‐Reinwald, Joanne Norton, Sumi Chakraverty and John C. Morris. Their work appears in journals such as Stem Cell Research, Journal of Affective Disorders, Pharmacogenomics, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and BMC Genetics.

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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