Daniel Cejka
Impact in
- Nephrology top 0.5%
- Parathyroid Disorders and Treatments
-
- Bone health and osteoporosis research
- Bone and Joint Diseases
Papers in
- Nephrology 39
- Parathyroid Disorders and Treatments 31
- Renal function and acid-base balance 5
- Chronic Kidney Disease and Diabetes 3
- Dialysis and Renal Disease Management 3
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- PI3K/AKT/mTOR signaling in cancer 8
- Co-authors
- Martin Haas (14 shared papers)Volker Wacheck (12 shared papers)Wolfgang Sieghart (8 shared papers)Thorsten Fuereder (9 shared papers)Danielle Diarra (6 shared papers)Doris Losert (4 shared papers)Sabine Strommer (8 shared papers)Johannes Werzowa (7 shared papers)
- Journals
- Clinical Kidney Journal (7 papers)Nephrology Dialysis Transplantation (5 papers)Bone (4 papers)Cancer Biology & Therapy (3 papers)Kidney International (3 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Daniel Cejka
65 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 82
- Nephrology 734
- Orthopedics and Sports Medicine 300
- Oncology 386
- Pathology and Forensic Medicine 220
- Transplantation 28
Countries citing papers authored by Daniel Cejka
This map shows the geographic impact of Daniel Cejka'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 Daniel Cejka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cejka more than expected).
Fields of papers citing papers by Daniel Cejka
This network shows the impact of papers produced by Daniel Cejka. 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 Daniel Cejka. The network helps show where Daniel Cejka may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Cejka, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 203 | |
| 2 | 2010 | 201 | |
| 3 | 2010 | 146 | |
| 4 | 2011 | 122 | |
| 5 | 2007 | 122 | |
| 6 | 2013 | 106 | |
| 7 | 2010 | 78 | |
| 8 | 2005 | 77 | |
| 9 | 2011 | 76 | |
| 10 | 2008 | 65 | |
| 11 | 2008 | 59 | |
| 12 | 2010 | 54 | |
| 13 | 2010 | 46 | |
| 14 | 2019 | 40 | |
| 15 | 2009 | 36 | |
| 16 | 2010 | 36 | |
| 17 | 2014 | 33 | |
| 18 | 2023 | 31 | |
| 19 | 2008 | 31 | |
| 20 | mTOR inhibition sensitizes gastric cancer to alkylating chemotherapy in vivo. | 2009 | 28 |
About Daniel Cejka
Daniel Cejka is a scholar working on Nephrology, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (31 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Bone health and osteoporosis research (6 papers), Vitamin D Research Studies (6 papers), Renal function and acid-base balance (5 papers), Chronic Kidney Disease and Diabetes (3 papers), COVID-19 Impact on Reproduction (3 papers) and Dialysis and Renal Disease Management (3 papers). The work is most often cited by research in Nephrology (734 citations), Orthopedics and Sports Medicine (300 citations), Oncology (386 citations), Pathology and Forensic Medicine (220 citations) and Transplantation (28 citations). Daniel Cejka has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Martin Haas, Volker Wacheck, Wolfgang Sieghart, Thorsten Fuereder, Danielle Diarra, Doris Losert, Sabine Strommer, Johannes Werzowa, Katharina Schmid and Susanne Rasoul‐Rockenschaub. Their work appears in journals such as Clinical Kidney Journal, Nephrology Dialysis Transplantation, Bone, Cancer Biology & Therapy and Kidney International.
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.