Daniel Zecher
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments 12
- Immunology top 5%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 7
- Immune Response and Inflammation 6
- Immunotherapy and Immune Responses 3
- Nephrology top 5%
- Rheumatology top 5%
- Hematology top 10%
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- Organ Donation and Transplantation 5
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- Organ Transplantation Techniques and Outcomes 5
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- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Hans‐Joachim AndersArun ČumpelikJürg A. SchifferliRahul D. PawarPrashant S. PatoleFadi G. LakkisStephan SegererWarren D. Shlomchik
- Cited by
- TransplantationImmunologyNephrology
- Journals
- The Journal of Immunology (2 papers)Journal of the American Society of Nephrology (2 papers)Nephrology Dialysis Transplantation (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Daniel Zecher
30 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Transplantation 152
- Immunology 616
- Nephrology 150
- Rheumatology 215
- Hematology 71
Countries citing papers authored by Daniel Zecher
This map shows the geographic impact of Daniel Zecher'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 Zecher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zecher more than expected).
Fields of papers citing papers by Daniel Zecher
This network shows the impact of papers produced by Daniel Zecher. 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 Zecher. The network helps show where Daniel Zecher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Zecher, 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 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 6 | |
| 4 | 2018 | 99 | |
| 5 | 2018 | 12 | |
| 6 | 2017 | 14 | |
| 7 | 2016 | 40 | |
| 8 | 2015 | 19 | |
| 9 | 2015 | 64 | |
| 10 | 2012 | 1 | |
| 11 | 2011 | 28 | |
| 12 | 2011 | 10 | |
| 13 | 2010 | 46 | |
| 14 | 2009 | 96 | |
| 15 | 2009 | 67 | |
| 16 | 2009 | 29 | |
| 17 | 2005 | 13 | |
| 18 | 2005 | 111 | |
| 19 | 2005 | 42 | |
| 20 | 2005 | 80 |
About Daniel Zecher
Daniel Zecher is a scholar working on Transplantation, Immunology, Nephrology, Rheumatology and Endocrinology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (12 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers), Immune Response and Inflammation (6 papers), Organ Donation and Transplantation (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Cytomegalovirus and herpesvirus research (4 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Transplantation (152 citations), Immunology (616 citations), Nephrology (150 citations), Rheumatology (215 citations) and Hematology (71 citations). Daniel Zecher has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hans‐Joachim Anders, Arun Čumpelik, Jürg A. Schifferli, Rahul D. Pawar, Prashant S. Patole, Fadi G. Lakkis, Stephan Segerer, Warren D. Shlomchik, David M. Rothstein and Matthias Kretzler. Their work appears in journals such as The Journal of Immunology, Journal of the American Society of Nephrology, Nephrology Dialysis Transplantation, Transplantation and Transplant Immunology.
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.