Gerhard Feil

1.3k citations
82 papers · 1.0k · h-index 18

Impact in

Papers in

    • Bladder and Urothelial Cancer Treatments 25
    • Tissue Engineering and Regenerative Medicine 19
    • Urinary and Genital Oncology Studies 10
    • Renal and related cancers 4
    • Epigenetics and DNA Methylation 4

Gerhard Feil

75 papers receiving 974 citations

Peers

Gerhard Feil
Comparison fields: 5 of 86
  • Urology 199
  • Developmental Biology 69
  • Surgery 488
  • Biomaterials 125
  • Cancer Research 78
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard Feil

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Feil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200677
2
[Polysyndactyly, short limbs, and genital malformations--a new syndrome?].
197174
3 197173
4 200963
5 200858
6
Marker for renal cell carcinoma (RCC): the dimeric form of pyruvate kinase type M2 (Tu M2-PK).
199957
7 199652
8
Renal cell carcinoma: relevance of angiogenetic factors.
199951
9 200947
10 201038
11 201135
12
Accuracy of the ImmunoCyt assay in the diagnosis of transitional cell carcinoma of the urinary bladder.
200333
13 200526
14 200124
15 200723
16
Renal cell carcinoma: immunohistological investigation of expression of the integrin alpha v beta 3.
199922
17 200820
18 200119
19 201717
20 200315

About Gerhard Feil

Gerhard Feil is a scholar working on Surgery, Molecular Biology, Urology, Pulmonary and Respiratory Medicine and Oncology, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (25 papers), Tissue Engineering and Regenerative Medicine (19 papers), Urological Disorders and Treatments (13 papers), Urinary and Genital Oncology Studies (10 papers), Renal cell carcinoma treatment (7 papers), Renal and related cancers (4 papers), Epigenetics and DNA Methylation (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). The work is most often cited by research in Urology (199 citations), Developmental Biology (69 citations), Surgery (488 citations), Biomaterials (125 citations) and Cancer Research (78 citations). Gerhard Feil has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Arnulf Stenzl, Karl‐Dietrich Sievert, E. Petri, K.-H. Bichler, Jörg Hennenlotter, Sabine Maurer, R. A. Pfeiffer, W. Lenz, R. Seiler and F. Majewski. Their work appears in journals such as The Journal of Urology, European Journal of Pediatrics, European Urology, European Urology Supplements and Anticancer Research.

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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