Oishi Chatterjee

551 total citations
19 papers, 373 citations indexed

About

Oishi Chatterjee is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Oishi Chatterjee has authored 19 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Oishi Chatterjee's work include Mycobacterium research and diagnosis (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Bacteriophages and microbial interactions (3 papers). Oishi Chatterjee is often cited by papers focused on Mycobacterium research and diagnosis (5 papers), Tuberculosis Research and Epidemiology (4 papers) and Bacteriophages and microbial interactions (3 papers). Oishi Chatterjee collaborates with scholars based in India, United States and Germany. Oishi Chatterjee's co-authors include Thottethodi Subrahmanya Keshava Prasad, Jayshree Advani, Sneha M. Pinto, Rajesh Raju, Akhilesh Pandey, Yashwanth Subbannayya, Rex Devasahayam Arokia Balaya, Mohan R. Wani, Aneesha Radhakrishnan and Apeksha Sahu and has published in prestigious journals such as PLANT PHYSIOLOGY, Free Radical Biology and Medicine and Frontiers in Microbiology.

In The Last Decade

Oishi Chatterjee

19 papers receiving 366 citations

Peers

Oishi Chatterjee

IMMUN

EPIDE

SURGE

Tomohiko Murase Japan

Huiyu Gong United States

Xu Dai China

Yuzuru Abe Japan

Manuel A. Garcia United States

Priya Sakthivel Sweden

Kin Ki Jim Netherlands

Eriko Harada Japan

Ming Dai China

Tomohiko Murase Japan

Oishi Chatterjee

143 ×1.1

101 ×1.2

IMMUN

23 ×0.4

EPIDE

38 ×0.6

SURGE

35 ×0.7

Citations per year, relative to Oishi Chatterjee Oishi Chatterjee (= 1×) peers Tomohiko Murase

Countries citing papers authored by Oishi Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Oishi Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oishi Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Oishi Chatterjee. A scholar is included among the top collaborators of Oishi Chatterjee 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 Oishi Chatterjee. Oishi Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Chatterjee, Oishi, Kiran K. Mangalaparthi, Firdous Ahmad Bhat, et al.. (2022). Age-Associated Molecular Changes in Human Hippocampus Subfields as Determined by Quantitative Proteomics. OMICS A Journal of Integrative Biology. 26(7). 382–391. 3 indexed citations

Dey, Gourav, Firdous Ahmad Bhat, Oishi Chatterjee, et al.. (2022). Regional heterogeneity in mitochondrial function underlies region specific vulnerability in human brain ageing: Implications for neurodegeneration. Free Radical Biology and Medicine. 193(Pt 1). 34–57. 7 indexed citations

Chatterjee, Oishi, Soujanya D. Yelamanchi, Bipin G. Nair, et al.. (2022). A molecular network map of orexin-orexin receptor signaling system. Journal of Cell Communication and Signaling. 17(1). 217–227. 5 indexed citations

Chatterjee, Oishi, et al.. (2022). Role of indole curcumin in the epigenetic activation of apoptosis and cell cycle regulating genes. Journal of Cancer Research and Therapeutics. 19(3). 601–609. 3 indexed citations

Chatterjee, Oishi, et al.. (2022). Impact of the COVID-19 Lockdown on Indian Patients Undergoing Orthodontic Treatment: A Questionnaire Based Study. International Journal of Health Sciences and Research. 12(3). 39–43. 1 indexed citations

Chatterjee, Oishi, Kiran K. Mangalaparthi, Manish Kumar, et al.. (2022). Proteomic Analysis of Adult Human Hippocampal Subfields Demonstrates Regional Heterogeneity in the Protein Expression. Journal of Proteome Research. 21(10). 2293–2310. 2 indexed citations

Chatterjee, Oishi, et al.. (2021). Opioid receptors signaling network. Journal of Cell Communication and Signaling. 16(3). 475–483. 19 indexed citations

Chatterjee, Oishi, Jayshree Advani, Bipin G. Nair, et al.. (2021). The Normal Human Adult Hypothalamus Proteomic Landscape: Rise of Neuroproteomics in Biological Psychiatry and Systems Biology. OMICS A Journal of Integrative Biology. 25(11). 693–710. 3 indexed citations

Chatterjee, Oishi, et al.. (2020). An assembly of galanin–galanin receptor signaling network. Journal of Cell Communication and Signaling. 15(2). 269–275. 20 indexed citations

10.

Advani, Jayshree, Renu Verma, Oishi Chatterjee, et al.. (2019). Whole Genome Sequencing of Mycobacterium tuberculosis Clinical Isolates From India Reveals Genetic Heterogeneity and Region-Specific Variations That Might Affect Drug Susceptibility. Frontiers in Microbiology. 10. 309–309. 39 indexed citations

11.

Ravikumar, Raju, Manish Kumar, Oishi Chatterjee, et al.. (2019). Global Proteome Profiling Reveals Drug-Resistant Traits in Elizabethkingia meningoseptica : An Opportunistic Nosocomial Pathogen. OMICS A Journal of Integrative Biology. 23(6). 318–326. 5 indexed citations

12.

Sahu, Apeksha, Nayana Gaur, Oishi Chatterjee, et al.. (2018). The 5-Hydroxytryptamine signaling map: an overview of serotonin-serotonin receptor mediated signaling network. Journal of Cell Communication and Signaling. 12(4). 731–735. 47 indexed citations

13.

Pinto, Sneha M., Renu Verma, Jayshree Advani, et al.. (2018). Integrated Multi-Omic Analysis of Mycobacterium tuberculosis H37Ra Redefines Virulence Attributes. Frontiers in Microbiology. 9. 1314–1314. 13 indexed citations

14.

Pinto, Sneha M., Yashwanth Subbannayya, Rex Devasahayam Arokia Balaya, et al.. (2018). A network map of IL-33 signaling pathway. Journal of Cell Communication and Signaling. 12(3). 615–624. 112 indexed citations

15.

Advani, Jayshree, Kusum Sharma, Renu Verma, et al.. (2018). Data on whole genome sequencing of extrapulmonary tuberculosis clinical isolates from India. Data in Brief. 20. 617–622. 1 indexed citations

16.

Advani, Jayshree, Renu Verma, Oishi Chatterjee, et al.. (2018). Rise of Clinical Microbial Proteogenomics: A Multiomics Approach to Nontuberculous Mycobacterium—The Case of Mycobacterium abscessus UC22. OMICS A Journal of Integrative Biology. 23(1). 1–16. 7 indexed citations

17.

Mahesh, H. B., Pratigya Subba, Jayshree Advani, et al.. (2018). Multi-Omics Driven Assembly and Annotation of the Sandalwood (Santalum album) Genome. PLANT PHYSIOLOGY. 176(4). 2772–2788. 32 indexed citations

18.

Sharma, Kusum, Renu Verma, Jayshree Advani, et al.. (2017). Whole Genome Sequencing of Mycobacterium tuberculosis Isolates From Extrapulmonary Sites. OMICS A Journal of Integrative Biology. 21(7). 413–425. 13 indexed citations

19.

Chatterjee, Oishi, et al.. (2016). An overview of the oxytocin-oxytocin receptor signaling network. Journal of Cell Communication and Signaling. 10(4). 355–360. 41 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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