Peter J. Effert

1.9k citations
35 papers · 1.5k indexed · h-index 17

Peter J. Effert

34 papers receiving 1.5k citations

Peers

Peter J. Effert
Comparison fields: 5 of 86
  • Urology 142
  • Pulmonary and Respiratory Medicine 708
  • Cancer Research 262
  • Rheumatology 248
  • Oncology 379
Replace Tony Elliott with:
Tony Elliott United Kingdom
Omar Hameed United States
L. Chauveinc France
Alberto Lapini Italy
Joerg Hennenlotter Germany
Kenneth S. Koeneman United States
Heiko Wunderlich Germany
Holger Moch Switzerland
David Golovsky Australia
John Tsihlias Canada
Peter J. Effert relative to Tony Elliott United Kingdom Tony Elliott's profile →
Citations per field
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Tony Elliott · 1×
Citations per year

Countries citing papers authored by Peter J. Effert

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. Effert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Effert. 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 Peter J. Effert. The network helps show where Peter J. Effert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20058
2 20059
3 20041
4 200416
5 20023
6 200136
7 19970
8 19964
9 199612
10 199620
11 19965
12 19952
13 199512
14 19952
15
Analysis of gene amplification in archival tissue by differential polymerase chain reaction.
199280
16 199276
17 1992118
18 199288
19 199252
20 199249

About Peter J. Effert

Peter J. Effert is a scholar working on Urology, Rheumatology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Urological Disorders and Treatments (7 papers), Urologic and reproductive health conditions (7 papers), Genital Health and Disease (6 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Urology (142 citations), Pulmonary and Respiratory Medicine (708 citations), Cancer Research (262 citations), Rheumatology (248 citations) and Oncology (379 citations). Peter J. Effert has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include G. Jakse, Stefan Handt, J.M. Wolff, Ü. Büll, Roland Bares, Edison T. Liu, Philip Walther, R. Thiel, Andreas Neubauer and Roy A. Frye. Their work appears in journals such as The Journal of Urology, European Urology, International Journal of Cancer, American Journal of Clinical Pathology and World Journal of Urology.

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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