Gerit Theil

1.1k citations
39 papers · 776 · h-index 13

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation

Papers in

Gerit Theil

39 papers receiving 716 citations

Peers

Gerit Theil
Comparison fields: 5 of 108
  • Nephrology 145
  • Cancer Research 158
  • Urology 67
  • Pulmonary and Respiratory Medicine 203
  • Rheumatology 88
Replace Ting Rao with:
Ting Rao China
Tetsushi Ogawa Japan
Veronica Triaca United States
Yaping Fan China
Jasmina Markovic‐Lipkovski Serbia
Toshihisa Ogawa Japan
Faysal Gök Türkiye
Shin Yamashita Japan
Simona Mihai Romania
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Gerit Theil relative to Ting Rao China Ting Rao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gerit Theil

Since Specialization
Citations

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

Fields of papers citing papers by Gerit Theil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962293
2 200457
3 201651
4 201545
5 201740
6 201635
7 201233
8 201725
9
Serum amyloid A: a biomarker for renal cancer.
201224
10 202119
11 201315
12 202414
13 201812
14 201812
15 202110
16 19709
17 20218
18 19638
19 20208
20 20227

About Gerit Theil

Gerit Theil is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Surgery, having authored 39 papers that have together received 776 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Cancer Genomics and Diagnostics (8 papers), Prostate Cancer Treatment and Research (8 papers), Renal cell carcinoma treatment (4 papers), Renal and related cancers (4 papers), Renal and Vascular Pathologies (3 papers), MicroRNA in disease regulation (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Nephrology (145 citations), Cancer Research (158 citations), Urology (67 citations), Pulmonary and Respiratory Medicine (203 citations) and Rheumatology (88 citations). Gerit Theil has collaborated with scholars based in Germany, United States and Malaysia. Frequent co-authors include Edward L. Alpen, Paul D. Doolan, Paolo Fornara, Kersten Fischer, Ekkehard Weber, Joanna Białek, Klaus Lücke, Nasreldin Mohammed, M. Raschid Hoda and Helge Täubert. Their work appears in journals such as World Journal of Urology, Life, Cancer Research, The American Journal of the Medical Sciences and Journal of Oncology.

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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