Jörg Timm

137 papers receiving 4.7k citations

Jörg Timm's Hit Papers

Age-dependent Immune Response to the Biontech/Pfizer BNT162b2 Coronavirus Disease 2019 Vaccination 2021 · 335 citations
3350+1+3Years since publication100200300

Peers

Jörg Timm
Comparison fields: 5 of 111
  • Hepatology 2.3k
  • Virology 516
  • Infectious Diseases 1.2k
  • Immunology 1.0k
  • Epidemiology 1.6k
Replace Julian Schulze zur Wiesch with:
Julian Schulze zur Wiesch Germany
Maryline Panis United States
William L. Irving United Kingdom
Thomas von Hahn Germany
Salim I. Khakoo United Kingdom
Michael R. Beard Australia
Heidi Barth Germany
Tomasz Laskus Poland
Thomas Vanwolleghem Belgium
Thais P. Salazar‐Mather United States
Jörg Timm relative to Julian Schulze zur Wiesch Germany Julian Schulze zur Wiesch's profile →
Citations per field
00.5×1.5×
Julian Schulze zur Wiesch · 1×
Citations per year

Countries citing papers authored by Jörg Timm

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Timm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jörg Timm, 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 Jörg Timm Line = papers co-authored together Jörg Timm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Age-dependent Immune Response to the Biontech/Pfizer BNT162b2 Coronavirus Disease 2019 Vaccination
Hit paper breakdown →
2021335
2 2010302
3 2012272
4 2004242
5 2004231
6 2005159
7 1997126
8 2010111
9 2009105
10 2008100
11 201899
12 200592
13 200585
14 201682
15 200779
16 202178
17 200777
18 200777
19 200676
20 201575

About Jörg Timm

Jörg Timm is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Immunology and Virology, having authored 147 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (70 papers), Hepatitis B Virus Studies (28 papers), SARS-CoV-2 and COVID-19 Research (20 papers), Immune Cell Function and Interaction (18 papers), HIV Research and Treatment (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), COVID-19 Clinical Research Studies (10 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Hepatology (2.3k citations), Virology (516 citations), Infectious Diseases (1.2k citations), Immunology (1.0k citations) and Epidemiology (1.6k citations). Jörg Timm has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Georg M. Lauer, Todd M. Allen, Raymond T. Chung, Arthur Y. Kim, Bruce D. Walker, Andreas Walker, Robert Thimme, Julian Schulze zur Wiesch, Hubert E. Blum and Paul Klenerman. Their work appears in journals such as Journal of Hepatology, Journal of Virology, Journal of Clinical Virology, PLoS ONE and Hepatology.

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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