Damayanthi Devineni

2.0k citations
35 papers · 1.6k · h-index 21

Impact in

Papers in

Damayanthi Devineni

34 papers receiving 1.5k citations

Peers

Damayanthi Devineni
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 469
  • Pharmacology 151
  • Transplantation 22
  • Pharmacology 65
Replace Sreeraj Macha with:
Sreeraj Macha United States
Monica Ligueros‐Saylan United States
Christian Friedrich Germany
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Tore Bjerregaard Stage Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Damayanthi Devineni

Since Specialization
Citations

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

Fields of papers citing papers by Damayanthi Devineni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Damayanthi Devineni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Damayanthi Devineni Line = papers co-authored together Damayanthi Devineni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011255
2 2012192
3 2013170
4 201598
5 200176
6 201457
7 200749
8 199644
9 201543
10 201443
11 201442
12
Uptake of temozolomide in a rat glioma model in the presence and absence of the angiogenesis inhibitor TNP-470.
199642
13 201540
14 201440
15 201531
16 202130
17 201430
18 200327
19 200826
20 201525

About Damayanthi Devineni

Damayanthi Devineni is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Oncology and Molecular Biology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (23 papers), Pancreatic function and diabetes (6 papers), Drug Transport and Resistance Mechanisms (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Glioma Diagnosis and Treatment (3 papers), Diabetes Management and Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Surgery (469 citations), Pharmacology (151 citations), Transplantation (22 citations) and Pharmacology (65 citations). Damayanthi Devineni has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include David Polidori, Paul Rothenberg, Joseph Murphy, James M. Gallo, Sarah Rusch, Christopher R. Curtin, Nicole Vaccaro, Sue Sha, Andres J. Klein–Szanto and Donna Skee. Their work appears in journals such as Clinical Therapeutics, The Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Diabetes Obesity and Metabolism and Scientific Reports.

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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