Ferenc Uher
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Immunology top 10%
- Galectins and Cancer Biology
Papers in
- Immunology 27
- T-cell and B-cell Immunology 11
- Galectins and Cancer Biology 6
- Immune Cell Function and Interaction 6
- Co-authors
- Éva Monostori (12 shared papers)Virág Vas (9 shared papers)Veronika S. Urbán (6 shared papers)Judit Kiss (6 shared papers)János Kovács (3 shared papers)Zsolt Matula (14 shared papers)Elen Gócza (3 shared papers)Gyöngyi Kudlik (6 shared papers)
- Journals
- Stem Cells and Development (4 papers)Cellular Immunology (3 papers)Pathology & Oncology Research (3 papers)International Journal of Molecular Sciences (3 papers)Immunology Letters (3 papers)
- Partner nations
- HungaryUnited StatesSouth Korea
In The Last Decade
Ferenc Uher
65 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Genetics 515
- Immunology 386
- Hematology 100
- Urology 51
- Molecular Biology 543
Countries citing papers authored by Ferenc Uher
This map shows the geographic impact of Ferenc Uher'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 Ferenc Uher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferenc Uher more than expected).
Fields of papers citing papers by Ferenc Uher
This network shows the impact of papers produced by Ferenc Uher. 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 Ferenc Uher. The network helps show where Ferenc Uher may publish in the future.
Co-authors
The 25 scholars most cited alongside Ferenc Uher, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 216 | |
| 2 | 2009 | 87 | |
| 3 | 2012 | 64 | |
| 4 | 2004 | 55 | |
| 5 | 2021 | 53 | |
| 6 | 2005 | 50 | |
| 7 | 2009 | 47 | |
| 8 | 2008 | 46 | |
| 9 | 2016 | 46 | |
| 10 | 2012 | 44 | |
| 11 | Characterization and therapeutic application of canine adipose mesenchymal stem cells to treat elbow osteoarthritis. | 2017 | 44 |
| 12 | 1985 | 44 | |
| 13 | 2014 | 42 | |
| 14 | 2021 | 37 | |
| 15 | 2007 | 35 | |
| 16 | 2016 | 35 | |
| 17 | 2010 | 34 | |
| 18 | 2016 | 33 | |
| 19 | 2012 | 27 | |
| 20 | 2011 | 26 |
About Ferenc Uher
Ferenc Uher is a scholar working on Immunology, Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (16 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (11 papers), COVID-19 Clinical Research Studies (7 papers), Galectins and Cancer Biology (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Immune Cell Function and Interaction (6 papers) and Hematopoietic Stem Cell Transplantation (6 papers). The work is most often cited by research in Genetics (515 citations), Immunology (386 citations), Hematology (100 citations), Urology (51 citations) and Molecular Biology (543 citations). Ferenc Uher has collaborated with scholars based in Hungary, United States and South Korea. Frequent co-authors include Éva Monostori, Virág Vas, Veronika S. Urbán, Judit Kiss, János Kovács, Zsolt Matula, Elen Gócza, Gyöngyi Kudlik, Howard B. Dickler and Roberta Fajka‐Boja. Their work appears in journals such as Stem Cells and Development, Cellular Immunology, Pathology & Oncology Research, International Journal of Molecular Sciences and Immunology 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.