Steffen Faisst

1.4k citations
17 papers · 1.3k indexed · 1 hit paper · h-index 13

Impact in

Papers in

Steffen Faisst

17 papers receiving 1.2k citations

Hit Papers

Compilation of vertebrate-encoded transcription factors 1992 · 875 citations
8751992202620032014250500750

Peers

Steffen Faisst
Comparison fields: 5 of 88
  • Animal Science and Zoology 187
  • Genetics 476
  • Infectious Diseases 211
  • Molecular Biology 767
  • Oncology 206
Replace Oekyung Kim with:
Oekyung Kim United States
Marita Büscher Germany
Chris Kingsley United States
R Ishizaki Japan
Jusan Yang United States
Ye V. Liu United States
Charles E. Rogler United States
Sudha Arya Canada
S P Staal United States
Iris Kemler United States
Steffen Faisst relative to Oekyung Kim United States Oekyung Kim's profile →
Citations per field
00.5×1.6×
Oekyung Kim · 1×
Citations per year

Countries citing papers authored by Steffen Faisst

Since Specialization
Citations

This map shows the geographic impact of Steffen Faisst'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 Steffen Faisst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Faisst more than expected).

Fields of papers citing papers by Steffen Faisst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steffen Faisst. 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 Steffen Faisst. The network helps show where Steffen Faisst may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Steffen Faisst, 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 Steffen Faisst Line = papers co-authored together Steffen Faisst links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Action oncolytique des parvovirus de rongeurs
20022
2 199944
3 199955
4 199834
5 199838
6 19982
7 199626
8 199540
9 199532
10 199422
11 199314
12
Compilation of vertebrate-encoded transcription factors
Hit paper breakdown →
1992875
13 199134
14 199012
15 198929
16 19871
17 19873

About Steffen Faisst

Steffen Faisst is a scholar working on Animal Science and Zoology, Genetics, Infectious Diseases, Virology and Oncology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Animal Virus Infections Studies (11 papers), Parvovirus B19 Infection Studies (9 papers), Animal Genetics and Reproduction (2 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers), HIV Research and Treatment (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Animal Science and Zoology (187 citations), Genetics (476 citations), Infectious Diseases (211 citations), Molecular Biology (767 citations) and Oncology (206 citations). Steffen Faisst has collaborated with scholars based in Germany, France and Belgium. Frequent co-authors include Silke Meyer, Jean Rommelaere, Laurent Deleu, Jörg R. Schlehofer, Aurora Pujol, Nathalie Spruyt, Harald zur Hausen, François Fuks, Béatrice Rayet and Thierry Dupressoir. Their work appears in journals such as Journal of Virology, Virus Research, International Journal of Cancer, Virology and Nucleic Acids 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.

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