K. Gauger

581 citations
9 papers · 463 · h-index 6

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Protease and Inhibitor Mechanisms
    • Breast Cancer Treatment Studies

Papers in

    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 2
    • Breast Cancer Treatment Studies 5
    • Protease and Inhibitor Mechanisms 2

K. Gauger

9 papers receiving 447 citations

Peers

K. Gauger
Comparison fields: 5 of 73
  • Hepatology 102
  • Cancer Research 176
  • Immunology and Allergy 48
  • Oncology 214
  • Molecular Biology 205
Replace Christine To with:
Christine To Canada
M W Büchler Switzerland
Ryouichi Hamasuna Japan
Wendy Cooper United States
Silvana Vignati Italy
Y Yonemura Japan
M Comley United Kingdom
Sean E. Sissons United States
Nerissa Mendoza United States
Corrado Gallo Stampino Italy
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Citations per field
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Christine To · 1×
Citations per year

Countries citing papers authored by K. Gauger

Since Specialization
Citations

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

Fields of papers citing papers by K. Gauger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2004217
2 2004120
3 200474
4
Antibody therapy for breast cancer.
200526
5
Study participation improves treatment strategies and individual patient care in participating centers.
200616
6 20056
7 20052
8
Participation in study improves treatment strategies and individual patient care in the participating centres
20051
9 20051

About K. Gauger

K. Gauger is a scholar working on Oncology, Cancer Research, Economics and Econometrics, Pulmonary and Respiratory Medicine and Immunology and Allergy, having authored 9 papers that have together received 463 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Cancer Treatment and Pharmacology (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Cell Adhesion Molecules Research (2 papers), Protease and Inhibitor Mechanisms (2 papers), HER2/EGFR in Cancer Research (2 papers), Clinical practice guidelines implementation (1 paper) and Economic and Financial Impacts of Cancer (1 paper). The work is most often cited by research in Hepatology (102 citations), Cancer Research (176 citations), Immunology and Allergy (48 citations), Oncology (214 citations) and Molecular Biology (205 citations). K. Gauger has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Nadia Harbeck, Marion Kiechle, Ronald Kates, Manfred Schmitt, Dieter Prechtel, Ernst Lengyel, Georgia Salanti, Kristina Lindemann, James H. Resau and Thomas Richter. Their work appears in journals such as Journal of Clinical Oncology, Thrombosis and Haemostasis, International Journal of Cancer, The Breast and Clinical Breast Cancer.

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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