Siegfried Görg

1.1k citations
30 papers · 557 · h-index 14

Impact in

  • Hepatology top 10%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
  • Biochemistry top 10%
    • Blood transfusion and management

Papers in

Siegfried Görg

28 papers receiving 536 citations

Peers

Siegfried Görg
Comparison fields: 5 of 76
  • Hepatology 111
  • Biochemistry 66
  • Hematology 121
  • Infectious Diseases 178
  • Transplantation 21
Replace Malte Ziemann with:
Malte Ziemann Germany
S. Gerald Sandler United States
James J. Bergin United States
Jean Delwaide Belgium
William L. Bayer United States
Patricia Pisciotto United States
Dante Mário Langhi Brazil
Sudheer K. Vuyyuru India
Antonio Tarantino Italy
Anja Gäckler Germany
Siegfried Görg relative to Malte Ziemann Germany Malte Ziemann's profile →
Citations per field
00.5×5.8×
Malte Ziemann · 1×
Citations per year

Countries citing papers authored by Siegfried Görg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Siegfried Görg Line = papers co-authored together Siegfried Görg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2 200390
3 202141
4 201537
5 201234
6 202128
7 201323
8 202122
9 201320
10 201319
11 200617
12 201214
13 201113
14 202213
15 202211
16 202110
17 20159
18 20189
19 20228
20 20177

About Siegfried Görg

Siegfried Görg is a scholar working on Infectious Diseases, Epidemiology, Hematology, Genetics and Immunology, having authored 30 papers that have together received 557 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Blood groups and transfusion (5 papers), Animal Virus Infections Studies (3 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Neonatal Health and Biochemistry (3 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Hepatology (111 citations), Biochemistry (66 citations), Hematology (121 citations), Infectious Diseases (178 citations) and Transplantation (21 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, Johannes Blümel, Sally A. Baylis, Jürgen Luhm, Jörg‐Matthias Brand, Christoph Frohn, Lutz Dümbgen and Holger Kirchner. Their work appears in journals such as Transfusion, Clinical Microbiology and Infection, Vaccines, Orphanet Journal of Rare Diseases and Brain Communications.

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.

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