Daniel Rosen

85 papers receiving 4.9k citations

Peers

Daniel Rosen
Comparison fields: 5 of 131
  • Reproductive Medicine 838
  • Cancer Research 804
  • Oncology 1.2k
  • Molecular Biology 2.2k
  • Immunology 501
Replace Steffen Hauptmann with:
Steffen Hauptmann Germany
Karin Milde‐Langosch Germany
Yinhua Yu United States
Paul Haluska United States
Aurelia Noske Germany
Kimberly R. Kalli United States
János L. Tanyi United States
Hilary A. Kenny United States
Hiroaki Itamochi Japan
Seiji Mabuchi Japan
Daniel Rosen relative to Steffen Hauptmann Germany Steffen Hauptmann's profile →
Citations per field
00.5×
Steffen Hauptmann · 1×
Citations per year

Countries citing papers authored by Daniel Rosen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004367
2 2005363
3 2005282
4 2006268
5 2005236
6 2005209
7 2005189
8
Structure and expression of the human FHIT gene in normal and tumor cells.
1997172
9 2006169
10 2010152
11 2009130
12 2007122
13 2004116
14 2004115
15 2011113
16 2006109
17 2004105
18 200590
19 200675
20 201165

About Daniel Rosen

Daniel Rosen is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Reproductive Medicine, having authored 87 papers that have together received 5.0k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (12 papers), Cancer Cells and Metastasis (8 papers), Esophageal Cancer Research and Treatment (7 papers), Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (5 papers), Telomeres, Telomerase, and Senescence (5 papers), DNA Repair Mechanisms (3 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Reproductive Medicine (838 citations), Cancer Research (804 citations), Oncology (1.2k citations), Molecular Biology (2.2k citations) and Immunology (501 citations). Daniel Rosen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jinsong Liu, Robert C. Bast, Gong Yang, Gordon B. Mills, Imelda Mercado‐Uribe, Karen H. Lu, Honami Naora, Wenjun Cheng, E. Neely Atkinson and Yinhua Yu. Their work appears in journals such as Modern Pathology, Clinical Cancer Research, Proceedings of the National Academy of Sciences, Gynecologic Oncology and International Journal of Gynecological 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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