Ram V. Devireddy

114 papers receiving 2.6k citations

Ram V. Devireddy's Hit Papers

Surface Plasmon Resonance (SPR) Sensor for Cancer Biomarker Detection 2023 · 132 citations
1320+1+2Years since publication50100150

Peers

Ram V. Devireddy
Comparison fields: 5 of 143
  • Reproductive Medicine 419
  • Genetics 423
  • Physiology 148
  • Public Health, Environmental and Occupational Health 542
  • Biomaterials 264
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Citations per year

Countries citing papers authored by Ram V. Devireddy

Since Specialization
Citations

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

Fields of papers citing papers by Ram V. Devireddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ram V. Devireddy. 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 Ram V. Devireddy. The network helps show where Ram V. Devireddy may publish in the future.

Co-authors

The 25 scholars most cited alongside Ram V. Devireddy, 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 Ram V. Devireddy Line = papers co-authored together Ram V. Devireddy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biomarkers in Cancer Detection, Diagnosis, and Prognosis
Hit paper breakdown →
2023180
2
Surface Plasmon Resonance (SPR) Sensor for Cancer Biomarker Detection
Hit paper breakdown →
2023132
3 200797
4 200989
5 199888
6 200284
7 201369
8 200066
9 200964
10 199964
11 200954
12 202054
13 201351
14 200551
15 202350
16 202344
17 201044
18 200443
19 200343
20 201842

About Ram V. Devireddy

Ram V. Devireddy is a scholar working on Biomedical Engineering, Public Health, Environmental and Occupational Health, Molecular Biology, Surgery and Reproductive Medicine, having authored 115 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (21 papers), 3D Printing in Biomedical Research (16 papers), Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (15 papers), Sperm and Testicular Function (12 papers), thermodynamics and calorimetric analyses (11 papers), Electrospun Nanofibers in Biomedical Applications (9 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Reproductive Medicine (419 citations), Genetics (423 citations), Physiology (148 citations), Public Health, Environmental and Occupational Health (542 citations) and Biomaterials (264 citations). Ram V. Devireddy has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Sreedhar Thirumala, Jeffrey M. Gimble, John C. Bischof, Manas Ranjan Gartia, Mohan Kumar Dey, Dinesh Pinisetty, Xiying Wu, Kenneth P. Roberts, Daniel J. Hayes and S.P. Leibo. Their work appears in journals such as Cryobiology, Journal of Biomechanical Engineering, Annals of Biomedical Engineering, Biology of Reproduction and Stem Cells and Development.

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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