Jan Janda
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Endocrinology top 1%
- Escherichia coli research studies
Papers in
- Nephrology 13
- Renal Diseases and Glomerulopathies 8
- Chronic Kidney Disease and Diabetes 2
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- Renal Transplantation Outcomes and Treatments 9
- Co-authors
- Tomáš Seeman (22 shared papers)Květa Bláhová (13 shared papers)Karel Vondrák (14 shared papers)Joachim Misselwitz (5 shared papers)Eva Šimková (8 shared papers)Martina Bielaszewska (7 shared papers)Ulrike John (4 shared papers)Helge Karch (3 shared papers)
In The Last Decade
Jan Janda
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 80
- Transplantation 273
- Endocrinology 277
- Nephrology 217
- Cardiology and Cardiovascular Medicine 399
- Pediatrics, Perinatology and Child Health 138
Countries citing papers authored by Jan Janda
This map shows the geographic impact of Jan Janda'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 Jan Janda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Janda more than expected).
Fields of papers citing papers by Jan Janda
This network shows the impact of papers produced by Jan Janda. 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 Jan Janda. The network helps show where Jan Janda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Janda, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 186 | |
| 2 | 1997 | 102 | |
| 3 | 2003 | 80 | |
| 4 | 2003 | 80 | |
| 5 | 2000 | 69 | |
| 6 | 2007 | 62 | |
| 7 | 1998 | 61 | |
| 8 | 2006 | 57 | |
| 9 | 2006 | 56 | |
| 10 | 2006 | 52 | |
| 11 | 1994 | 49 | |
| 12 | 2016 | 49 | |
| 13 | 2001 | 48 | |
| 14 | 2005 | 48 | |
| 15 | 2007 | 41 | |
| 16 | 1997 | 39 | |
| 17 | 2009 | 35 | |
| 18 | Verocytotoxin-producing Escherichia coli in children with hemolytic uremic syndrome in the Czech Republic. | 1996 | 31 |
| 19 | 2009 | 29 | |
| 20 | 2009 | 29 |
About Jan Janda
Jan Janda is a scholar working on Nephrology, Transplantation, Endocrinology, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (10 papers), Escherichia coli research studies (9 papers), Renal Transplantation Outcomes and Treatments (9 papers), Renal Diseases and Glomerulopathies (8 papers), Pediatric Urology and Nephrology Studies (6 papers), Child and Adolescent Health (5 papers), Genetic and Kidney Cyst Diseases (4 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Transplantation (273 citations), Endocrinology (277 citations), Nephrology (217 citations), Cardiology and Cardiovascular Medicine (399 citations) and Pediatrics, Perinatology and Child Health (138 citations). Jan Janda has collaborated with scholars based in Czechia, Germany and Canada. Frequent co-authors include Tomáš Seeman, Květa Bláhová, Karel Vondrák, Joachim Misselwitz, Eva Šimková, Martina Bielaszewska, Ulrike John, Helge Karch, Pavel Dvořák and Jochen H. H. Ehrich. Their work appears in journals such as Pediatric Nephrology, The Journal of Pediatrics, Pediatric Transplantation, Physiological Research and Kidney & Blood Pressure Research.
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.