Rupasri Mandal

13.9k total citations · 1 hit paper
119 papers, 5.0k citations indexed

About

Rupasri Mandal is a scholar working on Molecular Biology, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Rupasri Mandal has authored 119 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 17 papers in Agronomy and Crop Science and 15 papers in Genetics. Recurrent topics in Rupasri Mandal's work include Metabolomics and Mass Spectrometry Studies (43 papers), Gut microbiota and health (23 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). Rupasri Mandal is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (43 papers), Gut microbiota and health (23 papers) and Ruminant Nutrition and Digestive Physiology (10 papers). Rupasri Mandal collaborates with scholars based in Canada, United States and United Kingdom. Rupasri Mandal's co-authors include David S. Wishart, An Chi Guo, Edison Dong, Souhaila Bouatra, Xing‐Fang Li, Trent C. Bjorndahl, Michael Wilson, Farid Aziat, Jiamin Zheng and Burim N. Ametaj and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Environmental Science & Technology.

In The Last Decade

Rupasri Mandal

116 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Human Urine Metabolome

2013 1.1k citations Farid Aziat, Rupasri Mandal et al. PLoS ONE profile →

Peers

Rupasri Mandal

PHYSI

ACS

SPECT

Nikolaos Psychogios United States

Andrea Urbani Italy

Bart De Spiegeleer Belgium

Leonardo Tenori Italy

Pierre‐Louis Toutain France

Lorraine Brennan Ireland

Albert Koulman United Kingdom

Hanne Christine Bertram Denmark

D. Eric Walters United States

Carolyn M. Slupsky United States

Nikolaos Psychogios United States

Rupasri Mandal

2.5k ×0.9

632 ×1.1

PHYSI

296 ×0.6

ACS

412 ×0.8

SPECT

362 ×0.8

Citations per year, relative to Rupasri Mandal Rupasri Mandal (= 1×) peers Nikolaos Psychogios

Countries citing papers authored by Rupasri Mandal

Since Specialization

Citations

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

Fields of papers citing papers by Rupasri Mandal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rupasri Mandal

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

All Works

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20 of 20 papers shown

López‐Hernández, Yamilé, et al.. (2025). Comprehensive and quantitative urinary metabolomic profiling for improved characterization of diabetic nephropathy. Metabolomics. 21(6). 163–163.

Popowich, Shelly, Lisanework E. Ayalew, Rupasri Mandal, et al.. (2025). Elevated butyric acid and histamine in feces and serum as an indicator of onset of necrotic enteritis in broiler chickens. Frontiers in Microbiology. 16. 1581309–1581309. 1 indexed citations

Poleti, Mirele, et al.. (2024). Unraveling Ruminant Feed Efficiency Through Metabolomics: A Systematic Review. Metabolites. 14(12). 675–675. 2 indexed citations

Zhang, Lun, Jiamin Zheng, Rupasri Mandal, et al.. (2024). A Comprehensive LC–MS Metabolomics Assay for Quantitative Analysis of Serum and Plasma. Metabolites. 14(11). 622–622. 9 indexed citations

Wang, Li, et al.. (2024). An Overview of Pre-Analytical Factors Impacting Metabolomics Analyses of Blood Samples. Metabolites. 14(9). 474–474. 9 indexed citations

López‐Hernández, Yamilé, Rupasri Mandal, Jiamin Zheng, et al.. (2024). The Urinary Metabolome of Newborns with Perinatal Complications. Metabolites. 14(1). 41–41. 3 indexed citations

Shaik, Noor Ahmad, Shelly Popowich, Lisanework E. Ayalew, et al.. (2024). Elevated levels of butyric acid in the jejunum of an animal model of broiler chickens: from early onset of Clostridium perfringens infection to clinical disease of necrotic enteritis. Journal of Animal Science and Biotechnology. 15(1). 144–144. 2 indexed citations

López‐Hernández, Yamilé, Joel Monárrez‐Espino, Jiamin Zheng, et al.. (2023). The plasma metabolome of long COVID patients two years after infection. Scientific Reports. 13(1). 12420–12420. 54 indexed citations

Castañeda‐Delgado, Julio Enrique, Joel Monárrez‐Espino, Jiamin Zheng, et al.. (2021). Immunometabolic signatures predict risk of progression to sepsis in COVID-19. PLoS ONE. 16(8). e0256784–e0256784. 30 indexed citations

10.

López‐Hernández, Yamilé, Joel Monárrez‐Espino, Julio Enrique Castañeda‐Delgado, et al.. (2021). Targeted metabolomics identifies high performing diagnostic and prognostic biomarkers for COVID-19. Scientific Reports. 11(1). 14732–14732. 46 indexed citations

11.

López‐Hernández, Yamilé, Jiamin Zheng, An Chi Guo, et al.. (2020). The Urinary Metabolome of Healthy Newborns. Metabolites. 10(4). 165–165. 20 indexed citations

12.

Mandal, Rupasri, Raúl J. Cano, Cindy D. Davis, et al.. (2020). Workshop report: Toward the development of a human whole stool reference material for metabolomic and metagenomic gut microbiome measurements. Metabolomics. 16(11). 119–119. 20 indexed citations

13.

Ryan, Paul M., Elaine Patterson, Ilaria Carafa, et al.. (2019). Metformin and Dipeptidyl Peptidase-4 Inhibitor Differentially Modulate the Intestinal Microbiota and Plasma Metabolome of Metabolically Dysfunctional Mice. Canadian Journal of Diabetes. 44(2). 146–155.e2. 47 indexed citations

14.

Besson, Laurie, Rodolphe Alves de Sousa, Nicolas Pietrancosta, et al.. (2018). Identification of Primary Natural Killer Cell Modulators by Chemical Library Screening with a Luciferase-Based Functional Assay. SLAS DISCOVERY. 24(1). 25–37. 13 indexed citations

15.

Blydt‐Hansen, Tom, Atul Sharma, Ian W. Gibson, et al.. (2017). Urinary Metabolomics for Noninvasive Detection of Antibody-Mediated Rejection in Children After Kidney Transplantation. Transplantation. 101(10). 2553–2561. 29 indexed citations

16.

Guo, An Chi, Timothy Jewison, Michael Wilson, et al.. (2012). ECMDB: The E. coli Metabolome Database. Nucleic Acids Research. 41(D1). D625–D630. 128 indexed citations

17.

Bahado‐Singh, Ray, Ranjit Akolekar, Rupasri Mandal, et al.. (2012). First-trimester metabolomic detection of late-onset preeclampsia. American Journal of Obstetrics and Gynecology. 208(1). 58.e1–58.e7. 69 indexed citations

18.

Mandal, Rupasri, An Chi Guo, Philip L.‐F. Liu, et al.. (2012). Multi-platform characterization of the human cerebrospinal fluid metabolome: a comprehensive and quantitative update. Genome Medicine. 4(4). 38–38. 116 indexed citations

19.

Stretch, Cynthia, Rupasri Mandal, Roman Eisner, et al.. (2011). Prediction of Skeletal Muscle and Fat Mass in Patients with Advanced Cancer Using a Metabolomic Approach. Journal of Nutrition. 142(1). 14–21. 26 indexed citations

20.

Liu, Changqing, Rupasri Mandal, & Xing‐Fang Li. (2005). Detection of fortification of ginkgo products using nanoelectrospray ionization mass spectrometry. The Analyst. 130(3). 325–325. 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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