Jutta Kappes

586 citations
23 papers · 414 · h-index 13

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Inflammatory Biomarkers in Disease Prognosis
    • Lung Cancer Diagnosis and Treatment
    • Brain Metastases and Treatment
    • Lung Cancer Treatments and Mutations

Papers in

Jutta Kappes

22 papers receiving 411 citations

Peers

Jutta Kappes
Comparison fields: 5 of 31
  • Oncology 260
  • Pulmonary and Respiratory Medicine 296
  • Radiation 64
  • Epidemiology 173
  • Radiology, Nuclear Medicine and Imaging 73
Replace Sherif Y. El Sharouni with:
Sherif Y. El Sharouni Netherlands
Haruhito Kamei Japan
S. Sarangkasiri United States
Takuhito Tada Japan
Yasushi Hamamoto Japan
R. Matute Spain
Soon Huh United States
Justin Rineer United States
Midori Kita Japan
Adam C. Olson United States
Jutta Kappes relative to Sherif Y. El Sharouni Netherlands Sherif Y. El Sharouni's profile →
Citations per field
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Sherif Y. El Sharouni · 1×
Citations per year

Countries citing papers authored by Jutta Kappes

Since Specialization
Citations

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

Fields of papers citing papers by Jutta Kappes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200744
2 201740
3 201039
4 201635
5 201833
6 201531
7 201729
8 201522
9 201721
10 201821
11 201918
12 201716
13 201613
14 201611
15 201711
16 201411
17 20149
18 20155
19 20242
20 20241

About Jutta Kappes

Jutta Kappes is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 23 papers that have together received 414 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (10 papers), Lung Cancer Diagnosis and Treatment (9 papers), Neuroendocrine Tumor Research Advances (8 papers), Lung Cancer Treatments and Mutations (6 papers), Brain Metastases and Treatment (6 papers), Advanced Radiotherapy Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Oncology (260 citations), Pulmonary and Respiratory Medicine (296 citations), Radiation (64 citations), Epidemiology (173 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Jutta Kappes has collaborated with scholars based in Germany and United States. Frequent co-authors include Jürgen Debus, Stefan Rieken, Hans Hoffmann, Sebastian Adeberg, Martin Steins, Laila König, Michael Thomas, Denise Bernhardt, Claus Peter Heußel and Marc Bischof. Their work appears in journals such as Strahlentherapie und Onkologie, Lung Cancer, Clinical Lung Cancer, Radiotherapy and Oncology and Cancer Imaging.

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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