P Schmitz

1.8k total citations
25 papers, 1.2k citations indexed

About

P Schmitz is a scholar working on Hepatology, Epidemiology and Immunology. According to data from OpenAlex, P Schmitz has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hepatology, 11 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in P Schmitz's work include Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Liver Diseases and Immunity (5 papers). P Schmitz is often cited by papers focused on Liver physiology and pathology (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Liver Diseases and Immunity (5 papers). P Schmitz collaborates with scholars based in Germany, United States and Switzerland. P Schmitz's co-authors include Hermann E. Wasmuth, Christian Trautwein, Marie‐Luise Berres, K. Faulhauer, Mirko Moreno Zaldivar, Ralf Weiskirchen, Konrad L. Streetz, Christian Weber, Thomas Berg and Daniel Heinrichs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Gastroenterology.

In The Last Decade

P Schmitz

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P Schmitz Germany 14 516 515 290 202 164 25 1.2k
Roscoe D. Atkinson United States 12 449 0.9× 252 0.5× 249 0.9× 259 1.3× 127 0.8× 18 1.1k
Sukriti Sukriti India 17 450 0.9× 289 0.6× 291 1.0× 370 1.8× 66 0.4× 31 1.2k
Motoyasu Ishii Japan 19 508 1.0× 663 1.3× 89 0.3× 171 0.8× 216 1.3× 56 1.2k
Hildegard Keppeler Germany 19 531 1.0× 234 0.5× 522 1.8× 671 3.3× 277 1.7× 43 1.7k
Malte Peters Germany 15 263 0.5× 173 0.3× 423 1.5× 186 0.9× 522 3.2× 18 1.3k
Siu–Tsan Yuen China 16 551 1.1× 437 0.8× 189 0.7× 259 1.3× 124 0.8× 16 1.1k
Jeffrey N. Lindquist United States 9 555 1.1× 570 1.1× 118 0.4× 576 2.9× 96 0.6× 12 1.5k
Thomas Papadopoulos Germany 24 271 0.5× 222 0.4× 305 1.1× 296 1.5× 802 4.9× 36 1.7k
Leopold Ludwig Germany 17 223 0.4× 92 0.2× 365 1.3× 512 2.5× 445 2.7× 37 1.4k
Christer Baeck Germany 10 763 1.5× 597 1.2× 437 1.5× 248 1.2× 111 0.7× 11 1.4k

Countries citing papers authored by P Schmitz

Since Specialization
Citations

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

Fields of papers citing papers by P Schmitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Schmitz

This figure shows the co-authorship network connecting the top 25 collaborators of P Schmitz. A scholar is included among the top collaborators of P Schmitz 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 P Schmitz. P Schmitz 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.
Hunziker, Daniel, Sabrina Reinehr, Natalie Wagner, et al.. (2022). Synthesis, Characterization, and in vivo Evaluation of a Novel Potent Autotaxin-Inhibitor. Frontiers in Pharmacology. 12. 699535–699535. 8 indexed citations
2.
Schmitz, P & G. Strauß. (2019). Effects of the Surgical Procedure Manager (SPM) on surgical procedure and planning. Laryngo-Rhino-Otologie. 1 indexed citations
3.
Zaldivar, Mirko Moreno, Marie‐Luise Berres, Hacer Sahin, et al.. (2012). The chemokine receptor CXCR3 limits injury after acute toxic liver damage. Laboratory Investigation. 92(5). 724–734. 16 indexed citations
4.
Sahin, Hacer, Erawan Borkham‐Kamphorst, Christoph Kuppe, et al.. (2012). Chemokine Cxcl9 attenuates liver fibrosis-associated angiogenesis in mice. Hepatology. 55(5). 1610–1619. 112 indexed citations
5.
Nellen, Andreas, Daniel Heinrichs, Marie‐Luise Berres, et al.. (2012). Interference with Oligomerization and Glycosaminoglycan Binding of the Chemokine CCL5 Improves Experimental Liver Injury. PLoS ONE. 7(5). e36614–e36614. 15 indexed citations
6.
Sahin, Hacer, Erawan Borkham‐Kamphorst, Marie‐Luise Berres, et al.. (2012). Proapoptotic Effects of the Chemokine, CXCL 10 Are Mediated by the Noncognate Receptor TLR4 in Hepatocytes. Hepatology. 57(2). 797–805. 55 indexed citations
7.
Eurich, Dennis, P Schmitz, Maximilian Schmeding, et al.. (2011). A 7-Gene Signature of the Recipient Predicts the Progression of Fibrosis After Liver Transplantation for Hepatitis C Virus Infection. Liver Transplantation. 18(3). 298–304. 16 indexed citations
8.
9.
Berres, Marie‐Luise, Rory R. Koenen, Mirko Moreno Zaldivar, et al.. (2010). Antagonism of the chemokine Ccl5 ameliorates experimental liver fibrosis in mice. Journal of Clinical Investigation. 120(11). 4129–4140. 219 indexed citations
10.
Koenen, Rory R., et al.. (2010). 916 PHARMACOLOGICAL ANTAGONISM OF THE CHEMOKINE CCL5 (RANTES) AMELIORATES EXPERIMENTAL LIVER FIBROSIS IN VIVO. Journal of Hepatology. 52. S355–S355. 1 indexed citations
11.
Wasmuth, Hermann E., Frank Lammert, Mirko Moreno Zaldivar, et al.. (2009). Antifibrotic Effects of CXCL9 and Its Receptor CXCR3 in Livers of Mice and Humans. Gastroenterology. 137(1). 309–319.e3. 130 indexed citations
12.
Zaldivar, Mirko Moreno, Philipp von Hundelshausen, Marie‐Luise Berres, et al.. (2009). CXC chemokine ligand 4 (Cxcl4) is a platelet‐derived mediator of experimental liver fibrosis†. Hepatology. 51(4). 1345–1353. 137 indexed citations
13.
Wiederholt, T., Mirko Moreno Zaldivar, Marie‐Luise Berres, et al.. (2008). Genetic variations of the chemokine scavenger receptor D6 are associated with liver inflammation in chronic hepatitis C. Human Immunology. 69(12). 861–866. 21 indexed citations
14.
Berres, Marie‐Luise, P Schmitz, Mirko Moreno Zaldivar, et al.. (2008). A functional variation in CHI3L1 is associated with severity of liver fibrosis and YKL-40 serum levels in chronic hepatitis C infection. Journal of Hepatology. 50(2). 370–376. 75 indexed citations
15.
Wasmuth, Hermann E., Mirko Moreno Zaldivar, Marie‐Luise Berres, et al.. (2007). The fractalkine receptor CX3CR1 is involved in liver fibrosis due to chronic hepatitis C infection. Journal of Hepatology. 48(2). 208–215. 62 indexed citations
16.
Schmitz, Frank, Michael Besselmann, Martin Bettag, et al.. (1997). Somatosensory evoked potentials modified by laser-induced lesions of the rat cortex. Behavioural Brain Research. 84(1-2). 161–166. 1 indexed citations
17.
Kremer, Thomas, et al.. (1997). Beeinträchtigung der Blut-Kammerwasser-Schranke nach Implantation von sklerafixierten Hinterkammerlinsen. Der Ophthalmologe. 94(1). 24–29. 2 indexed citations
18.
19.
Faulhauer, K. & P Schmitz. (1978). Overdrainage phenomena in shunt treated hydrocephalus. Acta Neurochirurgica. 45(1-2). 89–101. 138 indexed citations
20.
Duprez, A, et al.. (1962). TUBERCULOMA OF THE THYMUS. Journal of Thoracic and Cardiovascular Surgery. 44(1). 115–120. 12 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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