K. D. Danenberg

2.2k citations
41 papers · 1.8k indexed · h-index 15

K. D. Danenberg

40 papers receiving 1.7k citations

Peers

K. D. Danenberg
Comparison fields: 5 of 90
  • Oncology 825
  • Cancer Research 422
  • Pulmonary and Respiratory Medicine 555
  • Molecular Biology 1.1k
  • Pathology and Forensic Medicine 262
Replace Tae-You Kim with:
Tae-You Kim South Korea
Kazuhiko Shien Japan
S. Gail Eckhardt United States
Anna Maria Rachiglio Italy
Carmen Belli Italy
S. Vignati Italy
F. Ettore France
Maja J.A. de Jonge Netherlands
J.L. Breau France
V. Damiano Italy
K. D. Danenberg relative to Tae-You Kim South Korea Tae-You Kim's profile →
Citations per field
00.5×1.6×
Tae-You Kim · 1×
Citations per year

Countries citing papers authored by K. D. Danenberg

Since Specialization
Citations

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

Fields of papers citing papers by K. D. Danenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201331
2 2011130
3 2011123
4 20111
5 201049
6 20109
7 20102
8 2008134
9 200823
10 20085
11 20082
12 20072
13 2006270
14 20056
15 20045
16 20043
17 200232
18
Differential S100 beta expression in choroidal and skin melanomas: quantitation by the polymerase chain reaction.
199314
19 199233
20
p53 gene mutation in primary human renal cell carcinoma.
199216

About K. D. Danenberg

K. D. Danenberg is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Reproductive Medicine and Surgery, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (17 papers), Cancer Genomics and Diagnostics (10 papers), Lung Cancer Treatments and Mutations (8 papers), Gastric Cancer Management and Outcomes (7 papers), HER2/EGFR in Cancer Research (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Oncology (825 citations), Cancer Research (422 citations), Pulmonary and Respiratory Medicine (555 citations), Molecular Biology (1.1k citations) and Pathology and Forensic Medicine (262 citations). K. D. Danenberg has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include P. V. Danenberg, Leonard B. Saltz, Cindy A. Eads, Peter W. Laird, Kazuyuki Kawakami, Heinz‐Josef Lenz, Peter V. Danenberg, Jan Brabender, Stephen Yang and Cármen Jerónimo. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research, International Journal of Radiation Oncology*Biology*Physics and Lung 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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