Neelendu Dey

1.6k total citations
34 papers, 1.1k citations indexed

About

Neelendu Dey is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Neelendu Dey has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Epidemiology and 9 papers in Genetics. Recurrent topics in Neelendu Dey's work include Gut microbiota and health (12 papers), Microscopic Colitis (8 papers) and Inflammatory Bowel Disease (8 papers). Neelendu Dey is often cited by papers focused on Gut microbiota and health (12 papers), Microscopic Colitis (8 papers) and Inflammatory Bowel Disease (8 papers). Neelendu Dey collaborates with scholars based in United States, South Africa and Canada. Neelendu Dey's co-authors include Steven E. Brenner, David Soergel, Rob Knight, Susanna Repo, Jeffrey I. Gordon, Rashidul Haque, Jiye Cheng, Laura V. Blanton, Margo H. Furman and Domenico Tortorella and has published in prestigious journals such as Cell, The Lancet and Journal of the American Chemical Society.

In The Last Decade

Neelendu Dey

30 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neelendu Dey United States 14 507 210 167 134 130 34 1.1k
Erin E. McClure United States 7 700 1.4× 193 0.9× 237 1.4× 100 0.7× 86 0.7× 7 1.1k
Stavros Bashiardes Cyprus 16 751 1.5× 215 1.0× 200 1.2× 121 0.9× 224 1.7× 31 1.4k
Ravi Ranjan United States 13 714 1.4× 137 0.7× 59 0.4× 119 0.9× 137 1.1× 25 1.1k
Susanne Heider Austria 13 590 1.2× 103 0.5× 133 0.8× 182 1.4× 79 0.6× 20 944
Federica D’Amico Italy 24 667 1.3× 80 0.4× 98 0.6× 204 1.5× 211 1.6× 67 1.5k
Mary K. Reinhard United States 20 469 0.9× 251 1.2× 123 0.7× 121 0.9× 87 0.7× 40 1.4k
Jarmo Ritari Finland 20 1.0k 2.0× 129 0.6× 138 0.8× 125 0.9× 205 1.6× 56 1.6k
Lillian Chau United States 15 622 1.2× 180 0.9× 105 0.6× 93 0.7× 194 1.5× 19 1.0k
William G. Fusco United States 13 507 1.0× 101 0.5× 72 0.4× 96 0.7× 231 1.8× 25 966

Countries citing papers authored by Neelendu Dey

Since Specialization
Citations

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

Fields of papers citing papers by Neelendu Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelendu Dey

This figure shows the co-authorship network connecting the top 25 collaborators of Neelendu Dey. A scholar is included among the top collaborators of Neelendu Dey 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 Neelendu Dey. Neelendu Dey 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.
Kamp, Kendra, K Hendrickson, Asif Iqbal, et al.. (2025). Correlation of Fecal, Plasma, Serum, and Salivary Calprotectin to Endoscopic and Histologic Outcomes in Patients With Crohn’s Disease. Gastroenterology Nursing. 48(4). 265–270.
2.
Rashidi, Armin, et al.. (2024). Multi-cohort shotgun metagenomic analysis of oral and gut microbiota overlap in healthy adults. Scientific Data. 11(1). 75–75. 4 indexed citations
3.
Chen, Zhengyi, Jimin Min, Sarah E. Glass, et al.. (2024). The Hallmarks of Precancer. Cancer Discovery. 14(4). 683–689. 11 indexed citations
4.
Rashidi, Armin, et al.. (2023). Colonization resistance is dispensable for segregation of oral and gut microbiota. BMC Medical Genomics. 16(1). 31–31. 6 indexed citations
5.
Kamp, Kendra, Kindra Clark‐Snustad, Kevin C. Cain, et al.. (2023). A Comprehensive Self-Management Intervention for Inflammatory Bowel Disease (CSM-IBD): Protocol for a Pilot Randomized Controlled Trial. JMIR Research Protocols. 12. e46307–e46307. 2 indexed citations
6.
Morella, Norma M., et al.. (2022). Complete Genome Sequences of Two Bacteroides uniformis Bacteriophages. Microbiology Resource Announcements. 11(10). e0061022–e0061022. 2 indexed citations
7.
Kamp, Kimberly, Na Li, Daniel M. Lachance, et al.. (2022). Interpersonal Variability in Gut Microbial Calprotectin Metabolism. SHILAP Revista de lepidopterología. 1(5). 853–856. 3 indexed citations
8.
Lachance, Daniel M., et al.. (2021). Variability in digestive and respiratory tract Ace2 expression is associated with the microbiome. PLoS ONE. 16(3). e0248730–e0248730. 31 indexed citations
9.
Lachance, Daniel M., et al.. (2021). Microbiome-encoded bile acid metabolism modulates colonic transit times. iScience. 24(6). 102508–102508. 28 indexed citations
10.
Melson, Joshua, Thomas F. Imperiale, Steven H. Itzkowitz, et al.. (2020). AGA White Paper: Roadmap for the Future of Colorectal Cancer Screening in the United States. Clinical Gastroenterology and Hepatology. 18(12). 2667–2678.e2. 24 indexed citations
11.
Dey, Neelendu, Michael L. Kochman, Srinadh Komanduri, Joshua Melson, & V. Raman Muthusamy. (2019). Report from the AGA Center for GI Innovation and Technology’s Consensus Conference: Envisioning Next-Generation Paradigms in Colorectal Cancer Screening and Surveillance. Gastroenterology. 158(3). 455–460. 2 indexed citations
12.
Camacho‐Soto, Alejandra, et al.. (2018). Inflammatory bowel disease and risk of Parkinson's disease in Medicare beneficiaries. Parkinsonism & Related Disorders. 50. 23–28. 66 indexed citations
13.
Dey, Neelendu & Matthew A. Ciorba. (2016). Probiotic Gut Bacteria Enhance Cancer Immunotherapy in a Mouse Model of Melanoma. Gastroenterology. 151(1). 206–207. 6 indexed citations
14.
Dey, Neelendu, Janaki L. Guruge, Ansel Hsiao, et al.. (2016). Effects of a gut pathobiont in a gnotobiotic mouse model of childhood undernutrition. Science Translational Medicine. 8(366). 366ra164–366ra164. 49 indexed citations
15.
Dey, Neelendu, Laura V. Blanton, Luigi Fontana, et al.. (2015). Regulators of Gut Motility Revealed by a Gnotobiotic Model of Diet-Microbiome Interactions Related to Travel. Cell. 163(4). 1037–1037.
16.
Dey, Neelendu, Laura V. Blanton, Jiye Cheng, et al.. (2015). Regulators of Gut Motility Revealed by a Gnotobiotic Model of Diet-Microbiome Interactions Related to Travel. Cell. 163(1). 95–107. 155 indexed citations
17.
Kanuri, Navya D., et al.. (2015). Vedolizumab Effectiveness and Safety Over the First Year of Use in an IBD Clinical Practice. Journal of Crohn s and Colitis. 10(4). 402–409. 74 indexed citations
18.
Dey, Neelendu, David Soergel, Susanna Repo, & Steven E. Brenner. (2013). Association of gut microbiota with post-operative clinical course in Crohn’s disease. BMC Gastroenterology. 13(1). 131–131. 97 indexed citations
19.
Dey, Neelendu, Marian Szczepanik, Kenneth Lau, Monika Majewska‐Szczepanik, & Philip W. Askenase. (2011). Stimulatory Lipids Accumulate in the Mouse Liver within 30 min of Contact Sensitization to Facilitate the Activation of Naïve iNKT Cells in a CD1d‐Dependent Fashion. Scandinavian Journal of Immunology. 74(1). 52–61. 16 indexed citations
20.
Dey, Neelendu, Tamim Nazif, & Bradley A. Sharpe. (2008). Stranded in San Francisco. The Lancet. 372(9642). 1008–1008. 1 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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