R. Willers

38 papers receiving 985 citations

Peers

R. Willers
Comparison fields: 5 of 84
  • Hepatology 186
  • Transplantation 26
  • Hematology 102
  • Pulmonary and Respiratory Medicine 194
  • Obstetrics and Gynecology 44
Replace Takeharu Kato with:
Takeharu Kato Japan
Venkata S. Katabathina United States
Zahir Amoura France
Tetsuo Maeda Japan
H A Austin United States
Sandeep Vaidya United States
Éric Frampas France
Anna Maria De Gaetano Italy
L Stockx Belgium
Yoshinobu Hata Japan
R. Willers relative to Takeharu Kato Japan Takeharu Kato's profile →
Citations per field
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Citations per year

Countries citing papers authored by R. Willers

Since Specialization
Citations

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

Fields of papers citing papers by R. Willers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004132
2 2000119
3 200096
4 200385
5 199867
6
Expression of apoptosis-regulating proteins and outcome of esophageal cancer patients treated by combined therapy modalities.
199850
7 200339
8 200536
9 200735
10
Expression of p21WAF1 predicts outcome of esophageal cancer patients treated by surgery alone or by combined therapy modalities.
199833
11 199832
12
Tumor vascularization and prognosis in squamous cell carcinomas of the esophagus.
199627
13 200226
14 199725
15 199924
16 200624
17 200123
18 200321
19 200619
20 200218

About R. Willers

R. Willers is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Hematology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Gastric Cancer Management and Outcomes (2 papers), Neutropenia and Cancer Infections (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer-related Molecular Pathways (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Hepatology (186 citations), Transplantation (26 citations), Hematology (102 citations), Pulmonary and Respiratory Medicine (194 citations) and Obstetrics and Gynecology (44 citations). R. Willers has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Dieter Häussinger, Christoph Vogt, Alexandra von Herbay, H. Gabbert, Mario Sarbia, Andreas Erhardt, Sibylle Jakubiczka, Catharina W. Wieland, Peter Wieacker and Elizabeth A. Schroder. Their work appears in journals such as The Journal of Pathology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Molecular Human Reproduction, American Journal of Hypertension and AIDS.

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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