Indu Nair

1.7k total citations · 1 hit paper
28 papers, 1.4k citations indexed

About

Indu Nair is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Indu Nair has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 11 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Indu Nair's work include Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (10 papers) and Epigenetics and DNA Methylation (5 papers). Indu Nair is often cited by papers focused on Pancreatic function and diabetes (15 papers), Diabetes and associated disorders (10 papers) and Epigenetics and DNA Methylation (5 papers). Indu Nair collaborates with scholars based in United States, India and Japan. Indu Nair's co-authors include Иван Тодоров, Fouad Kandeel, Rama Natarajan, Kevin Ferreri, Yoshimi Nakagawa, Amanda Gunn, John J. Rossi, Mei Wang, Hang Yuan and Linda Lanting and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Indu Nair

27 papers receiving 1.4k citations

Hit Papers

TGF-β activates Akt kinase through a microRNA-dependent a... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indu Nair United States 17 713 566 327 320 282 28 1.4k
Angela Koh Canada 10 545 0.8× 562 1.0× 69 0.2× 349 1.1× 290 1.0× 20 1.3k
Esw Ngan Hong Kong 27 868 1.2× 592 1.0× 215 0.7× 401 1.3× 201 0.7× 62 1.9k
Rachel B. Reinert United States 14 579 0.8× 661 1.2× 79 0.2× 343 1.1× 250 0.9× 18 1.4k
Hana Totary-Jain United States 20 786 1.1× 399 0.7× 401 1.2× 117 0.4× 97 0.3× 24 1.5k
Arthur R. Strauch United States 28 1.3k 1.8× 284 0.5× 196 0.6× 231 0.7× 189 0.7× 55 2.0k
Gilda Cobellis Italy 20 690 1.0× 217 0.4× 121 0.4× 130 0.4× 86 0.3× 40 1.1k
Yves Heremans Belgium 26 937 1.3× 1.7k 2.9× 132 0.4× 920 2.9× 599 2.1× 54 2.3k
Johan Lidén Sweden 14 415 0.6× 113 0.2× 336 1.0× 369 1.2× 213 0.8× 18 1.2k
Mohammad Mahdi Motazacker Netherlands 14 549 0.8× 437 0.8× 223 0.7× 225 0.7× 261 0.9× 18 1.2k
Jan‐Wilhelm Kornfeld Germany 15 1.1k 1.5× 234 0.4× 456 1.4× 113 0.4× 228 0.8× 26 1.8k

Countries citing papers authored by Indu Nair

Since Specialization
Citations

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

Fields of papers citing papers by Indu Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indu Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Indu Nair. A scholar is included among the top collaborators of Indu Nair 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 Indu Nair. Indu Nair 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.
Vellichirammal, Neetha Nanoth, et al.. (2024). Methylome-wide and meQTL analysis helps to distinguish treatment response from non-response and pathogenesis markers in schizophrenia. Frontiers in Psychiatry. 15. 1297760–1297760. 2 indexed citations
2.
Nair, Indu, et al.. (2023). Prevalence of depression in persons with schizophrenia – a cross-sectional study from a tertiary psychiatric hospital. SHILAP Revista de lepidopterología. 36(1). 364–364.
3.
Nair, Indu, et al.. (2023). Body Image Perception among Adolescent Girls – Association with Socio-demographic Factors: A Descriptive Study in Urban Mangalore. RESEARCH REVIEW International Journal of Multidisciplinary. 8(6). 67–74. 1 indexed citations
4.
Kumar, Bijender, Indu Nair, Junie Chea, et al.. (2018). 64cu-DOTA-Anti-CD33 PET-CT Imaging for Acute Myeloid Leukemia and Image-Guided Treatment. Blood. 132(Supplement 1). 2747–2747. 1 indexed citations
5.
Vellichirammal, Neetha Nanoth, et al.. (2016). Pro-inflammatory cytokines and their epistatic interactions in genetic susceptibility to schizophrenia. Journal of Neuroinflammation. 13(1). 105–105. 40 indexed citations
7.
Wu, Zhanhong, Zibo Li, Indu Nair, et al.. (2014). 64Cu Labeled Sarcophagine Exendin-4 for MicroPET Imaging of Glucagon like Peptide-1 Receptor Expression. Theranostics. 4(8). 770–777. 34 indexed citations
8.
Vellichirammal, Neetha Nanoth, et al.. (2014). DNA Methyl Transferase (DNMT) Gene Polymorphisms Could Be a Primary Event in Epigenetic Susceptibility to Schizophrenia. PLoS ONE. 9(5). e98182–e98182. 66 indexed citations
9.
Husseiny, Mohamed I., Jeffrey Rawson, Indu Nair, et al.. (2014). An oral vaccine for type 1 diabetes based on live attenuated Salmonella. Vaccine. 32(20). 2300–2307. 19 indexed citations
10.
Wu, Zhanhong, Zibo Li, Matthew Hassink, et al.. (2013). Development and Evaluation of 18F-TTCO-Cys40-Exendin-4: A PET Probe for Imaging Transplanted Islets. Journal of Nuclear Medicine. 54(2). 244–251. 88 indexed citations
11.
Wang, Miao, Jeremy J. Racine, Xiaoping Song, et al.. (2012). Mixed Chimerism and Growth Factors Augment β Cell Regeneration and Reverse Late-Stage Type 1 Diabetes. Science Translational Medicine. 4(133). 133ra59–133ra59. 34 indexed citations
12.
Asari, Sadaki, Shin Itakura, Jeffrey Rawson, et al.. (2011). Mesenchymal Stem Cells Facilitate Mixed Hematopoietic Chimerism Induction and Prevent Onset of Diabetes in Nonobese Diabetic Mice. Pancreas. 40(6). 846–854. 6 indexed citations
13.
Omori, Keiko, Masato Mitsuhashi, Kohei Ishiyama, et al.. (2011). mRNA of the pro-apoptotic gene BBC3 serves as a molecular marker for TNF-α-induced islet damage in humans. Diabetologia. 54(8). 2056–2066. 18 indexed citations
14.
Ito, T., Shin Itakura, Иван Тодоров, et al.. (2010). Mesenchymal Stem Cell and Islet Co-Transplantation Promotes Graft Revascularization and Function. Transplantation. 89(12). 1438–1445. 212 indexed citations
15.
Тодоров, Иван, Indu Nair, Jeffrey Rawson, et al.. (2010). Quantitative Assessment of β-Cell Apoptosis and Cell Composition of Isolated, Undisrupted Human Islets by Laser Scanning Cytometry. Transplantation. 90(8). 836–842. 21 indexed citations
16.
Kato, Mitsuo, Sumanth Putta, Mei Wang, et al.. (2009). TGF-β activates Akt kinase through a microRNA-dependent amplifying circuit targeting PTEN. Nature Cell Biology. 11(7). 881–889. 501 indexed citations breakdown →
17.
Sweet, Ian R., Merle L. Gilbert, Иван Тодоров, et al.. (2007). Glucose-Stimulated Increment in Oxygen Consumption Rate as a Standardized Test of Human Islet Quality. American Journal of Transplantation. 8(1). 183–192. 66 indexed citations
18.
Тодоров, Иван, Keiko Omori, Michael Pascual, et al.. (2006). Generation of Human Islets Through Expansion and Differentiation of Non-islet Pancreatic Cells Discarded (Pancreatic Discard) After Islet Isolation. Pancreas. 32(2). 130–138. 35 indexed citations
19.
20.
Тодоров, Иван, Indu Nair, Kevin Ferreri, et al.. (2005). Multipotent Progenitor Cells Isolated From Adult Human Pancreatic Tissue. Transplantation Proceedings. 37(8). 3420–3421. 6 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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