Hans Will

16.4k total citations
212 papers, 12.5k citations indexed

About

Hans Will is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Hans Will has authored 212 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 138 papers in Epidemiology, 98 papers in Hepatology and 59 papers in Molecular Biology. Recurrent topics in Hans Will's work include Hepatitis B Virus Studies (132 papers), Hepatitis C virus research (83 papers) and Liver Disease Diagnosis and Treatment (43 papers). Hans Will is often cited by papers focused on Hepatitis B Virus Studies (132 papers), Hepatitis C virus research (83 papers) and Liver Disease Diagnosis and Treatment (43 papers). Hans Will collaborates with scholars based in Germany, Italy and United States. Hans Will's co-authors include Heinz Schaller, Stephan Günther, Thomas Sternsdorf, Kirsten Jensen, Rolf Sprengel, Thomas G. Hofmann, Roberto Cattaneo, Stefan Miska, Martina Sterneck and F. Schödel and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Hans Will

212 papers receiving 12.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans Will Germany 63 7.7k 5.8k 4.1k 1.7k 1.4k 212 12.5k
Stefan Wieland United States 49 7.8k 1.0× 7.3k 1.3× 2.6k 0.6× 1.4k 0.8× 2.8k 2.0× 90 12.0k
Pierre Tiollais France 65 10.5k 1.4× 6.2k 1.1× 7.0k 1.7× 2.3k 1.4× 2.8k 2.0× 202 18.2k
Kunitada Shimotohno Japan 74 8.5k 1.1× 10.4k 1.8× 7.8k 1.9× 1.9k 1.1× 4.7k 3.4× 355 21.8k
Alfredo Nicosia Italy 48 3.2k 0.4× 3.2k 0.6× 3.0k 0.7× 856 0.5× 1.4k 1.0× 141 8.4k
T. Jake Liang United States 68 9.1k 1.2× 8.9k 1.5× 2.3k 0.6× 1.6k 0.9× 1.7k 1.3× 195 13.2k
Darius Moradpour Switzerland 61 7.4k 1.0× 10.4k 1.8× 3.6k 0.9× 2.4k 1.4× 3.0k 2.2× 273 15.4k
Michael M. C. Lai United States 65 4.1k 0.5× 4.2k 0.7× 3.5k 0.9× 3.8k 2.2× 1.5k 1.0× 174 12.2k
Luca G. Guidotti United States 66 8.8k 1.1× 6.6k 1.1× 1.9k 0.5× 1.8k 1.0× 5.5k 3.9× 111 13.8k
Mengji Lu Germany 49 5.3k 0.7× 3.6k 0.6× 2.2k 0.6× 2.6k 1.5× 2.5k 1.8× 319 9.7k
Stephan Urban Germany 53 7.8k 1.0× 6.4k 1.1× 1.6k 0.4× 1.1k 0.6× 967 0.7× 153 9.5k

Countries citing papers authored by Hans Will

Since Specialization
Citations

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

Fields of papers citing papers by Hans Will

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Will

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Will. A scholar is included among the top collaborators of Hans Will based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans Will. Hans Will is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chung, Ho‐Ryun, Chao Xu, Andreas Mund, et al.. (2016). PHF13 is a molecular reader and transcriptional co-regulator of H3K4me2/3. eLife. 5. 24 indexed citations
2.
Geipel, Andreas, et al.. (2014). Global Supply of Health Professionals. New England Journal of Medicine. 370(17). 1668–1668. 4 indexed citations
3.
Geipel, Andreas, et al.. (2014). Ventilator-Induced Lung Injury. New England Journal of Medicine. 370(17). 1668–1669. 27 indexed citations
4.
Kopylow, Kathrein von, Hannah Staege, Andrej‐Nikolai Spiess, et al.. (2011). Differential marker protein expression specifies rarefaction zone-containing human Adark spermatogonia. Reproduction. 143(1). 45–57. 53 indexed citations
5.
Funk, Anneke, Boerries Brandenburg, Stefanie Oess, et al.. (2006). Identification of a structural motif crucial for infectivity of hepatitis B viruses. Proceedings of the National Academy of Sciences. 103(17). 6730–6734. 44 indexed citations
6.
Ehlers, Imke, Sven Horke, Kerstin Reumann, et al.. (2004). Functional Characterization of the Interaction between Human La and Hepatitis B Virus RNA. Journal of Biological Chemistry. 279(42). 43437–43447. 38 indexed citations
7.
Möller, Andreas, Hüseyin Sirma, Thomas G. Hofmann, et al.. (2003). Sp100 is important for the stimulatory effect of homeodomain-interacting protein kinase-2 on p53-dependent gene expression. Oncogene. 22(54). 8731–8737. 35 indexed citations
8.
Dandri, Maura, Martin R. Burda, Alexander Bürkle, et al.. (2002). Increase in de novo HBV DNA integrations in response to oxidative DNA damage or inhibition of poly(ADP-ribosyl)ation. Hepatology. 35(1). 217–223. 84 indexed citations
9.
Görnemann, Janina, Thomas G. Hofmann, Hans Will, & Martin Müller. (2002). Interaction of Human Papillomavirus Type 16 L2 with Cellular Proteins: Identification of Novel Nuclear Body-Associated Proteins. Virology. 303(1). 69–78. 28 indexed citations
10.
Hildt, Eberhard, Olivier Terradillos, Teresa Pollicino, et al.. (2002). Conserved transactivating and pro-apoptotic functions of hepadnaviral X protein in ortho- and avihepadnaviruses. Oncogene. 21(43). 6606–6613. 17 indexed citations
11.
Sommer, Gunhild, Florian van Bömmel, & Hans Will. (2000). Genotype-Specific Synthesis and Secretion of Spliced Hepatitis B Virus Genomes in Hepatoma Cells. Virology. 271(2). 371–381. 56 indexed citations
12.
13.
Günther, Stephan, Gunhild Sommer, Uwe Plikat, et al.. (1997). Naturally Occurring Hepatitis B Virus Genomes Bearing the Hallmarks of Retroviral G → A Hypermutation. Virology. 235(1). 104–108. 70 indexed citations
14.
Santantonio, Teresa, Maria–Christina Jung, Giuseppe Pastore, et al.. (1997). Familial clustering of HBV pre-C and pre-S mutants. Journal of Hepatology. 26(2). 221–227. 17 indexed citations
15.
Fernholz, Doris, et al.. (1991). Mechanism, kinetics, and role of duck hepatitis B virus e-antigen expression in vivo. Virology. 182(2). 503–512. 22 indexed citations
16.
Stemler, M., et al.. (1990). Latency and reactivation of a precore mutant hepatitis B virus in a chronically infected patient. Journal of Hepatology. 11(3). 374–380. 40 indexed citations
17.
Raimondo, Giovanni, et al.. (1990). A new hepatitis B virus variant in a chronic carrier with multiple episodes of viral reactivation and acute hepatitis. Virology. 179(1). 64–68. 85 indexed citations
18.
Levrero, Massimo, Olivier Jean‐Jean, Clara Balsano, Hans Will, & M. Perricaudet. (1990). Hepatitis B virus (HBV) X gene expression in human cells and anti-HBx antibodies detection in chronic HBV infection. Virology. 174(1). 299–304. 36 indexed citations
19.
Stemler, M., et al.. (1988). Frequent detection of antibodies to hepatitis B virus x-protein in acute, chronic and resolved infections. Medical Microbiology and Immunology. 177(4). 195–205. 19 indexed citations
20.
Guldner, Hans H., Hans Netter, Carin Szostecki, H.‐J. Lakomek, & Hans Will. (1988). Epitope mapping with a recombinant human 68-kDa (U1) ribonucleoprotein antigen reveals heterogeneous autoantibody profiles in human autoimmune sera.. The Journal of Immunology. 141(2). 469–475. 70 indexed citations

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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