Siegfried Görg
Impact in
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
- Liver Disease and Transplantation
- Hematology top 10%
- Blood groups and transfusion
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
-
- Hepatitis B Virus Studies 3
- Cytomegalovirus and herpesvirus research 3
- Co-authors
- David Juhl (15 shared papers)Holger Hennig (9 shared papers)Malte Ziemann (17 shared papers)Sally A. Baylis (1 shared paper)Johannes Blümel (1 shared paper)Jürgen Luhm (2 shared papers)Lutz Dümbgen (1 shared paper)Jörg‐Matthias Brand (1 shared paper)
- Journals
- Transfusion (8 papers)Vaccines (2 papers)Clinical Microbiology and Infection (2 papers)Biomedicines (1 paper)NAR Genomics and Bioinformatics (1 paper)
- Partner nations
- GermanyUnited Arab EmiratesSaudi Arabia
In The Last Decade
Siegfried Görg
28 papers receiving 543 citations
Peers
Comparison fields: 5 of 70
- Hepatology 100
- Hematology 104
- Biochemistry 52
- Infectious Diseases 139
- Transplantation 18
Countries citing papers authored by Siegfried Görg
This map shows the geographic impact of Siegfried Görg'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 Siegfried Görg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siegfried Görg more than expected).
Fields of papers citing papers by Siegfried Görg
This network shows the impact of papers produced by Siegfried Görg. 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 Siegfried Görg. The network helps show where Siegfried Görg may publish in the future.
Co-authors
The 25 scholars most cited alongside Siegfried Görg, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 95 | |
| 2 | 2003 | 91 | |
| 3 | 2021 | 41 | |
| 4 | 2015 | 37 | |
| 5 | 2012 | 34 | |
| 6 | 2021 | 28 | |
| 7 | 2013 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2013 | 20 | |
| 10 | 2013 | 19 | |
| 11 | 2006 | 17 | |
| 12 | 2012 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2011 | 13 | |
| 16 | 2021 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2017 | 7 |
About Siegfried Görg
Siegfried Görg is a scholar working on Infectious Diseases, Epidemiology, Hematology, Surgery and Immunology, having authored 30 papers that have together received 564 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Blood groups and transfusion (4 papers), Hepatitis B Virus Studies (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Retinal and Optic Conditions (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Hepatology (100 citations), Hematology (104 citations), Biochemistry (52 citations), Infectious Diseases (139 citations) and Transplantation (18 citations). Siegfried Görg has collaborated with scholars based in Germany, United Arab Emirates and Saudi Arabia. Frequent co-authors include David Juhl, Holger Hennig, Malte Ziemann, Sally A. Baylis, Johannes Blümel, Jürgen Luhm, Lutz Dümbgen, Jörg‐Matthias Brand, Holger Kirchner and Christoph Frohn. Their work appears in journals such as Transfusion, Vaccines, Clinical Microbiology and Infection, Biomedicines and NAR Genomics and Bioinformatics.
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.