Rashmi Chandra

2.5k total citations
49 papers, 1.9k citations indexed

About

Rashmi Chandra is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Surgery. According to data from OpenAlex, Rashmi Chandra has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 11 papers in Endocrine and Autonomic Systems and 10 papers in Surgery. Recurrent topics in Rashmi Chandra's work include Regulation of Appetite and Obesity (7 papers), Neuropeptides and Animal Physiology (6 papers) and Pancreatic function and diabetes (6 papers). Rashmi Chandra is often cited by papers focused on Regulation of Appetite and Obesity (7 papers), Neuropeptides and Animal Physiology (6 papers) and Pancreatic function and diabetes (6 papers). Rashmi Chandra collaborates with scholars based in United States, India and Australia. Rashmi Chandra's co-authors include Rodger A. Liddle, Leigh Ann Samsa, Sharyn A. Endow, Edward D. Salmon, Augustus O. Grant, Dona M. Chikaraishi, Steven R. Vigna, Diego V. Bohórquez, Margie Ream and Robert L. Nussbaum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Rashmi Chandra

45 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashmi Chandra United States 22 804 321 319 316 275 49 1.9k
Pierre Bouloux United Kingdom 28 790 1.0× 161 0.5× 170 0.5× 226 0.7× 151 0.5× 62 2.3k
Kelley S. Madden United States 24 1.2k 1.4× 125 0.4× 365 1.1× 441 1.4× 121 0.4× 48 3.8k
Salvatore Alesci United States 26 597 0.7× 83 0.3× 256 0.8× 375 1.2× 133 0.5× 63 2.2k
Hiroshi Yamaguchi Japan 27 992 1.2× 124 0.4× 344 1.1× 597 1.9× 119 0.4× 170 3.1k
Fievos L. Christofi United States 29 610 0.8× 79 0.2× 538 1.7× 444 1.4× 165 0.6× 70 2.4k
Daniel N. Darlington United States 26 411 0.5× 222 0.7× 212 0.7× 228 0.7× 43 0.2× 84 2.3k
Kimberley D. Bruce United States 23 939 1.2× 73 0.2× 209 0.7× 831 2.6× 205 0.7× 52 2.9k
Christelle Veyrat‐Durebex Switzerland 28 1.5k 1.8× 230 0.7× 347 1.1× 1.8k 5.8× 269 1.0× 53 3.9k
Paul E. Squires United Kingdom 29 1.5k 1.8× 169 0.5× 1.1k 3.4× 454 1.4× 288 1.0× 91 3.3k
Josef E. Fischer United States 35 948 1.2× 274 0.9× 642 2.0× 772 2.4× 448 1.6× 111 3.5k

Countries citing papers authored by Rashmi Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Rashmi Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmi Chandra

This figure shows the co-authorship network connecting the top 25 collaborators of Rashmi Chandra. A scholar is included among the top collaborators of Rashmi Chandra 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 Rashmi Chandra. Rashmi Chandra 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.
Xue, Yue, Benjamin Y. Winer, Rashmi Chandra, et al.. (2025). Suppressing APOE4-induced neural pathologies by targeting the VHL–HIF axis. Proceedings of the National Academy of Sciences. 122(5). e2417515122–e2417515122.
2.
Chandra, Rashmi, et al.. (2024). Comparing Different Machine Learning Techniques in Predicting Diabetes on Early Stage. SHILAP Revista de lepidopterología. 20–20. 1 indexed citations
3.
Chandra, Rashmi, et al.. (2024). Automatic Text Summarization Using NLTK & Spacy*. SSRN Electronic Journal. 2 indexed citations
4.
Chandra, Rashmi, Arpine Sokratian, Stephanie L. King, et al.. (2023). Gut mucosal cells transfer α-synuclein to the vagus nerve. JCI Insight. 8(23). 29 indexed citations
5.
6.
Chandra, Rashmi, et al.. (2022). β-Sitosterol & quercetin enhances brain development in iodine deficient rat models. Nutrition and Health. 32(1). 277–286. 2 indexed citations
7.
Chandra, Rashmi, et al.. (2022). Nitrite reduction using a membrane biofilm reactor (MBfR) in a hypoxic environment with dilute methane under low pressures. The Science of The Total Environment. 841. 156757–156757. 13 indexed citations
8.
Kant, Ravi, et al.. (2022). Gut microbiota interactions with anti-diabetic medications and pathogenesis of type 2 diabetes mellitus. World Journal of Methodology. 12(4). 246–257. 18 indexed citations
9.
Chandra, Rashmi, Dipendra K. Aryal, Jonathan D. Douros, et al.. (2022). Ildr1 gene deletion protects against diet-induced obesity and hyperglycemia. PLoS ONE. 17(6). e0270329–e0270329. 2 indexed citations
10.
11.
Kant, Ravi, Vipin Kumar Verma, Siddharth M. Patel, et al.. (2020). Effect of serum zinc and copper levels on insulin secretion, insulin resistance and pancreatic β cell dysfunction in US adults: Findings from the National Health and Nutrition Examination Survey (NHANES) 2011–2012. Diabetes Research and Clinical Practice. 172. 108627–108627. 20 indexed citations
12.
Chandra, Rashmi & Rodger A. Liddle. (2014). Recent advances in the regulation of pancreatic secretion. Current Opinion in Gastroenterology. 30(5). 490–494. 20 indexed citations
13.
Chandra, Rashmi & Rodger A. Liddle. (2011). Recent advances in pancreatic endocrine and exocrine secretion. Current Opinion in Gastroenterology. 27(5). 439–443. 19 indexed citations
14.
Wang, Yu, Rashmi Chandra, Leigh Ann Samsa, et al.. (2010). Amino acids stimulate cholecystokinin release through the Ca 2+ -sensing receptor. American Journal of Physiology-Gastrointestinal and Liver Physiology. 300(4). G528–G537. 145 indexed citations
15.
Bohórquez, Diego V., Rashmi Chandra, Leigh Ann Samsa, Steven R. Vigna, & Rodger A. Liddle. (2010). Characterization of basal pseudopod-like processes in ileal and colonic PYY cells. Journal of Molecular Histology. 42(1). 3–13. 71 indexed citations
16.
Chandra, Rashmi, Leigh Ann Samsa, Steven R. Vigna, & Rodger A. Liddle. (2010). Pseudopod-like basal cell processes in intestinal cholecystokinin cells. Cell and Tissue Research. 341(2). 289–297. 35 indexed citations
17.
Chandra, Rashmi & Rodger A. Liddle. (2009). Neural and hormonal regulation of pancreatic secretion. Current Opinion in Gastroenterology. 25(5). 441–446. 62 indexed citations
18.
Ream, Margie, Rashmi Chandra, Mary Peavey, et al.. (2008). High oxygen prevents fetal lethality due to lack of catecholamines. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 295(3). R942–R953. 22 indexed citations
19.
Grant, Augustus O., et al.. (2000). Block of Wild-Type and Inactivation-Deficient Cardiac Sodium Channels IFM/QQQ Stably Expressed in Mammalian Cells. Biophysical Journal. 79(6). 3019–3035. 42 indexed citations
20.
Chandra, Rashmi. (1999). β-adrenergic action on wild-type and KPQ mutant human cardiac Na+ channels: shift in gating but no change in Ca2+: Na+ selectivity. Cardiovascular Research. 42(2). 490–502. 23 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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