John Tigges
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
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- Extracellular vesicles in disease 14
- Single-cell and spatial transcriptomics 5
- RNA Interference and Gene Delivery 4
- Advanced biosensing and bioanalysis techniques 2
-
- MicroRNA in disease regulation 7
- Co-authors
- Vasilis Toxavidis (13 shared papers)Ionita Ghiran (12 shared papers)Winston Patrick Kuo (2 shared papers)Alexander R. Ivanov (5 shared papers)Maria Ericsson (2 shared papers)Leonora Balaj (2 shared papers)Saumya Das (2 shared papers)R Distel (1 shared paper)
- Journals
- American Journal of Transplantation (2 papers)PLoS ONE (2 papers)Cytometry Part A (2 papers)iScience (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
John Tigges
24 papers receiving 783 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 253
- Physiology 70
- Rehabilitation 57
- Molecular Biology 560
- Genetics 55
Countries citing papers authored by John Tigges
This map shows the geographic impact of John Tigges'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 John Tigges with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tigges more than expected).
Fields of papers citing papers by John Tigges
This network shows the impact of papers produced by John Tigges. 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 John Tigges. The network helps show where John Tigges may publish in the future.
Co-authors
The 25 scholars most cited alongside John Tigges, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 162 | |
| 2 | 2012 | 127 | |
| 3 | 2009 | 61 | |
| 4 | 2016 | 60 | |
| 5 | 2017 | 56 | |
| 6 | 2013 | 56 | |
| 7 | 2019 | 52 | |
| 8 | 2018 | 46 | |
| 9 | 2019 | 29 | |
| 10 | 2014 | 28 | |
| 11 | 2016 | 27 | |
| 12 | 2023 | 15 | |
| 13 | 1999 | 13 | |
| 14 | 2024 | 10 | |
| 15 | 2009 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2014 | 6 | |
| 20 | 2024 | 4 |
About John Tigges
John Tigges is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Immunology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 791 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (14 papers), MicroRNA in disease regulation (7 papers), Single-cell and spatial transcriptomics (5 papers), RNA Interference and Gene Delivery (4 papers), Immune Cell Function and Interaction (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pancreatic function and diabetes (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cancer Research (253 citations), Physiology (70 citations), Rehabilitation (57 citations), Molecular Biology (560 citations) and Genetics (55 citations). John Tigges has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Vasilis Toxavidis, Ionita Ghiran, Winston Patrick Kuo, Alexander R. Ivanov, Maria Ericsson, Leonora Balaj, Saumya Das, R Distel, Fatemeh Momen‐Heravi and Johan Skog. Their work appears in journals such as American Journal of Transplantation, PLoS ONE, Cytometry Part A, iScience and Frontiers in Cell and Developmental Biology.
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.