Hans‐Peter Dienes

913 total citations
18 papers, 696 citations indexed

About

Hans‐Peter Dienes is a scholar working on Immunology, Hepatology and Molecular Biology. According to data from OpenAlex, Hans‐Peter Dienes has authored 18 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Hepatology and 4 papers in Molecular Biology. Recurrent topics in Hans‐Peter Dienes's work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Hans‐Peter Dienes is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Hans‐Peter Dienes collaborates with scholars based in Germany, Austria and Netherlands. Hans‐Peter Dienes's co-authors include Karl‐Hermann Meyer zum Büschenfelde, Michael Manns, Peter Schirmacher, Margarete Odenthal, Christoph Scheicher, Konrad Reske, Ansgar W. Lohse, Malte Peters, Stefan Rose‐John and Karl-Hermann Meyer zum Büschenfelde and has published in prestigious journals such as The Journal of Experimental Medicine, Hepatology and Kidney International.

In The Last Decade

Hans‐Peter Dienes

18 papers receiving 689 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‐Peter Dienes Germany 12 260 202 181 179 160 18 696
Anthony J. Scarzello United States 14 456 1.8× 264 1.3× 184 1.0× 125 0.7× 296 1.9× 16 886
Nikola Baschuk Australia 14 324 1.2× 256 1.3× 187 1.0× 107 0.6× 212 1.3× 21 739
Fariba Barahmand-Pour United States 10 531 2.0× 213 1.1× 170 0.9× 134 0.7× 338 2.1× 10 890
Masatoshi Deguchi Japan 14 104 0.4× 257 1.3× 157 0.9× 158 0.9× 110 0.7× 42 643
Xiaolan Fu China 17 434 1.7× 361 1.8× 156 0.9× 89 0.5× 200 1.3× 43 947
Yoshiro Kashii Japan 12 610 2.3× 235 1.2× 87 0.5× 105 0.6× 366 2.3× 22 896
Yasuhiro Sugamata Japan 8 178 0.7× 264 1.3× 108 0.6× 43 0.2× 111 0.7× 8 583
Katja Klugewitz Germany 13 555 2.1× 102 0.5× 244 1.3× 310 1.7× 117 0.7× 22 928
Maggie Cam United States 18 239 0.9× 395 2.0× 349 1.9× 225 1.3× 287 1.8× 37 1.1k

Countries citing papers authored by Hans‐Peter Dienes

Since Specialization
Citations

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

Fields of papers citing papers by Hans‐Peter Dienes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans‐Peter Dienes

This figure shows the co-authorship network connecting the top 25 collaborators of Hans‐Peter Dienes. A scholar is included among the top collaborators of Hans‐Peter Dienes 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‐Peter Dienes. Hans‐Peter Dienes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Soon, Gwyneth Shook Ting, Francesco Callea, Alastair D. Burt, et al.. (2024). Steatohepatitic hepatocellular Carcinoma:A new approach to classifying morphological subtypes of hepatocellular carcinoma. Human Pathology. 149. 55–65. 2 indexed citations
2.
Torbenson, Michael, Valeer Desmet, Helmut Denk, et al.. (2020). Fifty years of impact on liver pathology: a history of the Gnomes. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(2). 191–200. 1 indexed citations
3.
Lévy, Pierre, Jennifer Molle, Maud Michelet, et al.. (2016). Hepatitis C virus infection triggers a tumor‐like glutamine metabolism. Hepatology. 65(3). 789–803. 55 indexed citations
4.
Weseslindtner, Lukas, Robert Straßl, Harald Hofer, et al.. (2015). Micro RNAs mir‐106a, mir‐122 and mir‐197 are increased in severe acute viral hepatitis with coagulopathy. Liver International. 36(3). 353–360. 4 indexed citations
5.
Drebber, Uta, Margarete Odenthal, Stephan W. Aberle, et al.. (2013). Hepatitis E in liver biopsies from patients with acute hepatitis of clinically unexplained origin. Frontiers in Physiology. 4. 351–351. 22 indexed citations
6.
Wohlleber, Dirk, Hamid Kashkar, Margarete Odenthal, et al.. (2012). TNF-Induced Target Cell Killing by CTL Activated through Cross-Presentation. Cell Reports. 2(3). 478–487. 51 indexed citations
7.
8.
Breuhahn, Kai, Frank Fischer, Christoph Zilkens, et al.. (2003). Beta‐catenin accumulation in the progression of human hepatocarcinogenesis correlates with loss of E‐cadherin and accumulation of p53, but not with expression of conventional WNT‐1 target genes. The Journal of Pathology. 201(2). 250–259. 90 indexed citations
9.
Schwarting, Andreas, et al.. (2000). Proteinase-3 mRNA expressed by glomerular epithelial cells correlates with crescent formation in Wegener's granulomatosis. Kidney International. 57(6). 2412–2422. 17 indexed citations
10.
Schirmacher, Peter, Hans‐Peter Dienes, & R. Moll. (1998). De novo expression of nonhepatocellular cytokeratins in Mallory body formation. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 432(2). 143–152. 10 indexed citations
11.
Ackermann, Birgit, Martin S. Staege, Angelika B. Reske‐Kunz, et al.. (1997). Enterobacteria‐Infected T Cells as Antigen‐Presenting Cells for Cytotoxic CD8 T Cells: A Contribution to the Self‐Limitation of Cellular Immune Reactions in Reactive Arthritis?. The Journal of Infectious Diseases. 175(5). 1121–1127. 13 indexed citations
12.
Peters, Malte, Peter Schirmacher, Jutta Goldschmitt, et al.. (1997). Extramedullary Expansion of Hematopoietic Progenitor Cells in Interleukin (IL)-6–sIL-6R Double Transgenic Mice. The Journal of Experimental Medicine. 185(4). 755–766. 151 indexed citations
13.
Becker, Roger, et al.. (1996). Ha-rasVa112 but not p53Ser247 leads to a significant neoplastic transformation rate of the putative rat liver stem cells (oval cell). Carcinogenesis. 17(12). 2635–2640. 7 indexed citations
14.
Scheicher, Christoph, et al.. (1995). Uptake of Bead-Adsorbed Versus Soluble Antigen by Bone Marrow Derived Dendritic Cells Triggers Their Activation and Increases Their Antigen Presentation Capacity. Advances in experimental medicine and biology. 378. 253–255. 15 indexed citations
15.
16.
Dick, Thomas, Klaus Ebnet, Markus M. Simon, et al.. (1993). An Ovalbumin Peptide-Specific Cytotoxic T Cell Clone with Antigen Self-Presentation Capacity Uses Two Distinct Mechanisms to Kill Target Cells. Cellular Immunology. 152(2). 333–347. 5 indexed citations
17.
Meuer, Stefan, Ulrich Moebius, Michael Manns, et al.. (1991). Hepatocellular expression of lymphocyte function—associated antigen 3 in chronic hepatitis. Hepatology. 14(2). 223–230. 37 indexed citations
18.
Lohse, Ansgar W., et al.. (1990). Experimental Autoimmune Hepatitis: Disease Induction, Time Course and T–Cell Reactivity. Hepatology. 11(1). 24–30. 106 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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