Mridula Dogra

516 total citations
8 papers, 222 citations indexed

About

Mridula Dogra is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mridula Dogra has authored 8 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mridula Dogra's work include Diabetes Treatment and Management (4 papers), Neuropeptides and Animal Physiology (2 papers) and Advanced Drug Delivery Systems (2 papers). Mridula Dogra is often cited by papers focused on Diabetes Treatment and Management (4 papers), Neuropeptides and Animal Physiology (2 papers) and Advanced Drug Delivery Systems (2 papers). Mridula Dogra collaborates with scholars based in United States and New Zealand. Mridula Dogra's co-authors include Matthew R. Hayes, Richard Cosgrove, Ricardo J. Samms, Jorge Alsina‐Fernandez, Tito Borner, Bart C. De Jonghe, Minrong Ai, Samantha M. Fortin, Richard C. Crist and Benjamin C. Reiner and has published in prestigious journals such as Diabetes, British Journal of Pharmacology and International Journal of Pharmaceutics.

In The Last Decade

Mridula Dogra

8 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mridula Dogra United States	6	131	78	57	55	46	8	222
Prashant Nadkarni United States	6	115 0.9×	129 1.7×	87 1.5×	53 1.0×	20 0.4×	9	372
Julia Kenkre United Kingdom	6	203 1.5×	49 0.6×	143 2.5×	94 1.7×	59 1.3×	9	284
Yoshimichi Takeda Japan	11	152 1.2×	78 1.0×	84 1.5×	39 0.7×	29 0.6×	30	301
Caroline Cilissen United States	6	66 0.5×	100 1.3×	25 0.4×	32 0.6×	34 0.7×	9	263
Carolina Concettoni Italy	10	232 1.8×	48 0.6×	104 1.8×	27 0.5×	16 0.3×	19	325
Thibaut Bourgeois France	4	83 0.6×	100 1.3×	76 1.3×	61 1.1×	11 0.2×	4	237
Emma Leighton United Kingdom	2	157 1.2×	103 1.3×	125 2.2×	67 1.2×	9 0.2×	3	338
Annamaria Ciccarone Italy	10	107 0.8×	78 1.0×	54 0.9×	85 1.5×	7 0.2×	16	249
Mahesh M. Umapathysivam Australia	9	229 1.7×	54 0.7×	135 2.4×	54 1.0×	47 1.0×	20	313
Rachel E. Foreman United Kingdom	9	70 0.5×	112 1.4×	79 1.4×	38 0.7×	7 0.2×	17	299

Countries citing papers authored by Mridula Dogra

Since Specialization

Citations

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

Fields of papers citing papers by Mridula Dogra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mridula Dogra

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

All Works

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8 of 8 papers shown

1.

Martin, Jennifer A., et al.. (2025). Controlling Gastric Delivery of a GIP/GLP1 Peptide in Monkeys by Mucoadhesive SNAC Tablets. Pharmaceutical Research. 42(6). 1021–1033. 1 indexed citations

2.

Dogra, Mridula, et al.. (2023). Development and evaluation of C10 and SNAC erodible tablets for gastric delivery of a GIP/GLP1 peptide in monkeys. International Journal of Pharmaceutics. 650. 123680–123680. 11 indexed citations

3.

Samms, Ricardo J., Richard Cosgrove, Brian A. Droz, et al.. (2022). GIPR Agonism Inhibits PYY-Induced Nausea-Like Behavior. Diabetes. 71(7). 1410–1423. 46 indexed citations

4.

Borner, Tito, Caroline E. Geisler, Samantha M. Fortin, et al.. (2021). GIP Receptor Agonism Attenuates GLP-1 Receptor Agonist–Induced Nausea and Emesis in Preclinical Models. Diabetes. 70(11). 2545–2553. 125 indexed citations

5.

Mattheakis, Larry, et al.. (2016). P-126 PTG-100, An Oral Peptide Antagonist of Integrin α4β7 that Alters Trafficking of Gut Homing T Cells in Preclinical Animal Models. Inflammatory Bowel Diseases. 22. S48–S48. 8 indexed citations

6.

Bourne, Gregory T., et al.. (2016). P-148 Discovery of Novel Oral Peptide Antagonists of IL-23 Receptor that Are Efficacious in a Rat Model of IBD. Inflammatory Bowel Diseases. 22. S55–S55. 1 indexed citations

7.

Dogra, Mridula, Ghader Bashiri, Malcolm D. Tingle, et al.. (2010). Comparative bioactivation of the novel anti‐tuberculosis agent PA‐824 inMycobacteriaand a subcellular fraction of human liver. British Journal of Pharmacology. 162(1). 226–236. 21 indexed citations

8.

Kairuz, Therése, et al.. (2007). Extemporaneous compounding in a sample of New Zealand hospitals: a retrospective survey.. PubMed. 120(1251). U2466–U2466. 9 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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