Saigopalakrishna S. Yerneni
- Cancer Research top 2%
- MicroRNA in disease regulation 13
- Automotive Engineering top 1%
- Biomedical Engineering top 1%
- Bone Tissue Engineering Materials 4
- Biomaterials top 2%
- Immunology top 5%
- Immunotherapy and Immune Responses 3
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- Extracellular vesicles in disease 28
- RNA Interference and Gene Delivery 12
- Circular RNAs in diseases 4
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- Bacterial Infections and Vaccines 4
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- Cell Adhesion Molecules Research 4
- Co-authors
- Theresa L. WhitesidePhil G. CampbellDaniel J. ShiwarskiThomas J. HintonAndrew R. HudsonJacqueline M. BlileyAndrew LeeJoshua W. Tashman
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nano Letters (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Saigopalakrishna S. Yerneni
52 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 950
- Automotive Engineering 647
- Biomedical Engineering 1.6k
- Biomaterials 473
- Immunology 650
Countries citing papers authored by Saigopalakrishna S. Yerneni
This map shows the geographic impact of Saigopalakrishna S. Yerneni'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 Saigopalakrishna S. Yerneni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saigopalakrishna S. Yerneni more than expected).
Fields of papers citing papers by Saigopalakrishna S. Yerneni
This network shows the impact of papers produced by Saigopalakrishna S. Yerneni. 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 Saigopalakrishna S. Yerneni. The network helps show where Saigopalakrishna S. Yerneni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saigopalakrishna S. Yerneni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 23 | |
| 4 | 2024 | 4 | |
| 5 | 2022 | 84 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 35 | |
| 9 | 2020 | 91 | |
| 10 | 2020 | 96 | |
| 11 | 2020 | 41 | |
| 12 | 2019 | 37 | |
| 13 | 2019 | 73 | |
| 14 | 2018 | 28 | |
| 15 | 2018 | 152 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 37 | |
| 18 | Clinical Significance of PD-L1+ Exosomes in Plasma of Head and Neck Cancer Patientsbreakdown → | 2017 | 511 |
| 19 | 2017 | 67 | |
| 20 | 2017 | 174 |
About Saigopalakrishna S. Yerneni
Saigopalakrishna S. Yerneni is a scholar working on Cancer Research, Surfaces, Coatings and Films and Immunology and Allergy, having authored 53 papers that have together received 4.1k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (28 papers), MicroRNA in disease regulation (13 papers), RNA Interference and Gene Delivery (12 papers), Bacterial Infections and Vaccines (4 papers), Bone Tissue Engineering Materials (4 papers), Circular RNAs in diseases (4 papers), Cell Adhesion Molecules Research (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cancer Research (950 citations), Automotive Engineering (647 citations) and Biomedical Engineering (1.6k citations). Saigopalakrishna S. Yerneni has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Theresa L. Whiteside, Phil G. Campbell, Daniel J. Shiwarski, Thomas J. Hinton, Andrew R. Hudson, Jacqueline M. Bliley, Andrew Lee, Joshua W. Tashman, Adam W. Feinberg and Marie‐Nicole Theodoraki. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nano Letters.
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.