A. Ahr

2.7k citations
56 papers · 1.9k · h-index 19

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
  • Oncology top 2%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research

Papers in

    • HER2/EGFR in Cancer Research 8
    • Cancer Immunotherapy and Biomarkers 5
    • Gene expression and cancer classification 7

A. Ahr

53 papers receiving 1.9k citations

Peers

A. Ahr
Comparison fields: 5 of 86
  • Cancer Research 759
  • Oncology 1.1k
  • Immunology 300
  • Molecular Biology 666
  • Reproductive Medicine 76
Replace Coya Tapia with:
Coya Tapia Switzerland
Kathleen Lambein Belgium
Ji Shin Lee South Korea
Henryk Pilch Germany
Ann‐Marie Baker United Kingdom
Nikita Makretsov Canada
Andrey Khramtsov United States
John G. Konrath United States
Yusuke Nakamura Japan
Esther M. de Kruijf Netherlands
A. Ahr relative to Coya Tapia Switzerland Coya Tapia's profile →
Citations per field
00.5×1.6×
Coya Tapia · 1×
Citations per year

Countries citing papers authored by A. Ahr

Since Specialization
Citations

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

Fields of papers citing papers by A. Ahr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003493
2 2009336
3 2011250
4 201174
5 200157
6 200656
7 200754
8 200852
9 200944
10 200942
11 201139
12 200434
13 202330
14 201230
15 200829
16 199620
17 200319
18 200918
19 199518
20 200617

About A. Ahr

A. Ahr is a scholar working on Oncology, Molecular Biology, Cancer Research, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), HER2/EGFR in Cancer Research (8 papers), Cancer Genomics and Diagnostics (7 papers), Gene expression and cancer classification (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Endometriosis Research and Treatment (5 papers), Cervical Cancer and HPV Research (5 papers) and Uterine Myomas and Treatments (5 papers). The work is most often cited by research in Cancer Research (759 citations), Oncology (1.1k citations), Immunology (300 citations), Molecular Biology (666 citations) and Reproductive Medicine (76 citations). A. Ahr has collaborated with scholars based in Germany, United States and Estonia. Frequent co-authors include Manfred Kaufmann, Achim Rody, Thomas Karn, Uwe Holtrich, Christine Solbach, R. Gaetje, Lars Hanker, Dirk Metzler, Cornelia Liedtke and Eugen Ruckhaeberle. Their work appears in journals such as European Journal of Cancer, The Journal of Pathology, Cancer Research, Breast Cancer Research and Treatment and Breast Cancer 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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