W. Wiest

500 citations
20 papers · 289 · h-index 6

Impact in

  • Urology top 5%
    • Hair Growth and Disorders
  • Cell Biology top 10%
    • Skin and Cellular Biology Research

Papers in

W. Wiest

19 papers receiving 271 citations

Peers

W. Wiest
Comparison fields: 5 of 55
  • Urology 69
  • Cell Biology 175
  • Dermatology 61
  • Microbiology 16
  • Oncology 54
Replace B Lane with:
B Lane Netherlands
Els Groeneveld Netherlands
Karen A. Holbrook United States
Balvinder K. Bloor United Kingdom
Vesarat Wessagowit United Kingdom
Hiroki Fujikawa Japan
N. Murase Japan
Kim L. Kroeze Netherlands
K. Katsuoka Japan
Christoph M. Lanschuetzer Austria
W. Wiest relative to B Lane Netherlands B Lane's profile →
Citations per field
00.5×
B Lane · 1×
Citations per year

Countries citing papers authored by W. Wiest

Since Specialization
Citations

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

Fields of papers citing papers by W. Wiest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1982203
2 201030
3 197411
4 198710
5 19899
6 19805
7 20094
8 20123
9 20102
10 19852
11 19952
12 20111
13
[Serum ribonuclease activity in patients with gynaecologic malignomas (author's transl)].
19791
14
Serum ribonuclease activity in patients with ovarian tumors.
19861
15
Determination of ribonuclease activity in the serum of ovarian carcinoma patients.
19841
16
[Changes in blood coagulation during tocolysis].
19791
17
[Partusisten and isoptin influence on maternal ECG and heart-specific serum enzymes].
19791
18
[Serum ribonuclease activity in gynecologic neoplasms. The behavior of serum ribonuclease in ovarian cancer under cytostatic therapy].
19801
19 19841
20 20230

About W. Wiest

W. Wiest is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Dermatology, having authored 20 papers that have together received 289 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), HER2/EGFR in Cancer Research (4 papers), Advanced Breast Cancer Therapies (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Breast Cancer Treatment Studies (2 papers), Ovarian cancer diagnosis and treatment (2 papers), MicroRNA in disease regulation (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Urology (69 citations), Cell Biology (175 citations), Dermatology (61 citations), Microbiology (16 citations) and Oncology (54 citations). W. Wiest has collaborated with scholars based in Germany, Italy and Netherlands. Frequent co-authors include Roland Moll, Ingrid Moll, R. Ruffmann, H. Weidinger, Anke Kleine-Tebbe, Iris Schrader, Andreas Schneeweiß, Gϋnter von Minckwitz, Marc Sütterlin and Nicolaì Maass. Their work appears in journals such as European Journal of Cancer, Cancers, Differentiation, Journal of Clinical Oncology and Drugs.

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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