Odity Mukherjee

1.4k total citations
35 papers, 785 citations indexed

About

Odity Mukherjee is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Odity Mukherjee has authored 35 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Genetics. Recurrent topics in Odity Mukherjee's work include Alzheimer's disease research and treatments (11 papers), Genetic Associations and Epidemiology (8 papers) and Pluripotent Stem Cells Research (7 papers). Odity Mukherjee is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Genetic Associations and Epidemiology (8 papers) and Pluripotent Stem Cells Research (7 papers). Odity Mukherjee collaborates with scholars based in India, United States and Chile. Odity Mukherjee's co-authors include Sanjeev Jain, Meera Purushottam, Alison Goate, Samir K. Brahmachari, Nigel J. Cairns, Sumi Chakraverty, Joanne Norton, Michael A. Gitcho, John C. Morris and Lisa Taylor‐Reinwald and has published in prestigious journals such as Annals of Neurology, Scientific Reports and Molecular Psychiatry.

In The Last Decade

Odity Mukherjee

35 papers receiving 771 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Odity Mukherjee India 17 271 261 250 173 164 35 785
Juan José Poza Spain 15 453 1.7× 79 0.3× 327 1.3× 101 0.6× 157 1.0× 37 996
Pilar Gómez‐Garre Spain 20 271 1.0× 201 0.8× 363 1.5× 280 1.6× 104 0.6× 46 875
Lena E. Hjermind Denmark 18 405 1.5× 119 0.5× 388 1.6× 98 0.6× 69 0.4× 47 904
Patrizia Tarantino Italy 15 229 0.8× 142 0.5× 463 1.9× 125 0.7× 168 1.0× 29 922
Isabelle Le Ber France 18 125 0.5× 320 1.2× 507 2.0× 71 0.4× 179 1.1× 33 873
Mitsumoto Onaya Japan 11 210 0.8× 273 1.0× 397 1.6× 18 0.1× 133 0.8× 32 768
Beatrice Paradiso Italy 17 321 1.2× 70 0.3× 95 0.4× 157 0.9× 165 1.0× 36 966
Winston Corona United States 6 372 1.4× 221 0.8× 59 0.2× 328 1.9× 318 1.9× 8 1.0k
Raúl Delgado‐Morales Spain 15 427 1.6× 159 0.6× 75 0.3× 166 1.0× 32 0.2× 24 764
Laura Donker Kaat Netherlands 17 185 0.7× 494 1.9× 701 2.8× 52 0.3× 253 1.5× 31 1.0k

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-authorship network of co-authors of Odity Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Odity Mukherjee. A scholar is included among the top collaborators of Odity Mukherjee 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 Odity Mukherjee. Odity Mukherjee 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
1.
Mukherjee, Odity, et al.. (2019). Making NSC and Neurons from Patient-Derived Tissue Samples. Methods in molecular biology. 1919. 9–24. 7 indexed citations
2.
Rao, Mahendra S., et al.. (2018). Developing two reference control samples for the Indian population. Stem Cell Research. 30. 38–42. 4 indexed citations
3.
4.
Ganesh, Suhas, Husayn Ahmed Pallikonda, Ravi Kumar Nadella, et al.. (2018). Exome sequencing in families with severe mental illness identifies novel and rare variants in genes implicated in Mendelian neuropsychiatric syndromes. Psychiatry and Clinical Neurosciences. 73(1). 11–19. 22 indexed citations
5.
Ashok, Aparna, Biju Viswanath, Meera Purushottam, et al.. (2018). Derivation of iPSC lines from two patients with familial Alzheimer's disease from India. Stem Cell Research. 34. 101370–101370. 2 indexed citations
6.
Viswanath, Biju, Meera Purushottam, Mathew Varghese, et al.. (2017). Mutation burden profile in familial Alzheimer's disease cases from India. Neurobiology of Aging. 64. 158.e7–158.e13. 9 indexed citations
7.
Mukherjee, Odity, et al.. (2017). Genotoxic Effects of Culture Media on Human Pluripotent Stem Cells. Scientific Reports. 7(1). 42222–42222. 14 indexed citations
8.
Purushottam, Meera, Odity Mukherjee, Biju Viswanath, et al.. (2016). Effect of CLU and PICALM polymorphisms on AD risk: A study from south India. Asian Journal of Psychiatry. 27. 7–11. 13 indexed citations
9.
Mukherjee, Odity, Gopal D. Das, Somdutta Sen, et al.. (2015). C9orf72 mutations may be rare in frontotemporal lobar degeneration patients in India. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 17(1-2). 151–153. 8 indexed citations
10.
Viswanath, Biju, Alessio Squassina, Jagadisha Thirthalli, et al.. (2015). Cellular models to study bipolar disorder: A systematic review. Journal of Affective Disorders. 184. 36–50. 44 indexed citations
11.
12.
Purushottam, Meera, et al.. (2013). Generation and characterization of individual-specific induced pluripotent cells from patient-derived lymphoblastoid cell lines. Molecular Neurodegeneration. 8(S1). 1 indexed citations
13.
Purushottam, Meera, et al.. (2010). Phylogenetic Analysis and Selection Pressures of 5-HT Receptors in Human and Non-human Primates: Receptor of an Ancient Neurotransmitter. Journal of Biomolecular Structure and Dynamics. 27(5). 581–598. 18 indexed citations
14.
Bharath, Srikala, Meera Purushottam, Odity Mukherjee, et al.. (2010). Apolipoprotein E Polymorphism and Dementia: A Hospital-Based Study from Southern India. Dementia and Geriatric Cognitive Disorders. 30(6). 455–460. 18 indexed citations
15.
Mukherjee, Odity, et al.. (2010). Genetic Polymorphism in the Serotonin Transporter Promoter Region and Ecological Success in Macaques. Behavior Genetics. 40(5). 672–679. 17 indexed citations
16.
Mukherjee, Odity, et al.. (2009). Evaluating epistatic interaction signals in complex traits using quantitative traits. BMC Proceedings. 3(S7). S82–S82. 3 indexed citations
17.
An, Ping, Odity Mukherjee, Pritam Chanda, et al.. (2009). The challenge of detecting epistasis (G×G Interactions): Genetic Analysis Workshop 16. Genetic Epidemiology. 33(S1). S58–67. 16 indexed citations
18.
Purushottam, Meera, Shobana Kubendran, Odity Mukherjee, et al.. (2008). Evolutionary analysis of PHLPP1 gene in humans and non-human primates. Bioinformation. 2(10). 471–474. 1 indexed citations
19.
Mukherjee, Odity, Saurabh Ghosh, Kiran K. Mangalaparthi, et al.. (2006). Evidence of linkage and association on 18p11.2 for psychosis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(8). 868–873. 22 indexed citations
20.
Dash, Debasis, Amit Kishore, Vivek Benegal, et al.. (2001). Association of CAG repeat loci on chromosome 22 with schizophrenia and bipolar disorder. Molecular Psychiatry. 6(6). 694–700. 19 indexed citations

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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