Daniel M. Ramos

71 papers receiving 2.6k citations

Peers

Daniel M. Ramos
Comparison fields: 5 of 120
  • Immunology and Allergy 1.1k
  • Cell Biology 528
  • Cancer Research 434
  • Oncology 428
  • Molecular Biology 1.1k
Replace Olaf Wendler with:
Olaf Wendler Germany
Edward D. Allen United States
William E. Allen United Kingdom
Marko Rehn Finland
Rainer Probstmeier Germany
Irene H. Maumenee United States
Lies H. Hoefsloot Netherlands
Sarah M. Knox United States
Vickery Trinkaus‐Randall United States
Marı́a T. Dours-Zimmermann Switzerland
Daniel M. Ramos relative to Olaf Wendler Germany Olaf Wendler's profile →
Citations per field
00.5×3.1×
Olaf Wendler · 1×
Citations per year

Countries citing papers authored by Daniel M. Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014212
2 1995187
3 1998131
4 2000128
5 1991122
6 1995113
7 2016112
8 2002110
9 200383
10
Melanoma cell adhesion to basement membrane mediated by integrin-related complexes.
198980
11 199172
12 200265
13 200863
14 199763
15 202262
16
Analysis of integrin receptors for laminin and type IV collagen on metastatic B16 melanoma cells.
199062
17 200161
18
The role of the integrin alpha v beta6 in regulating the epithelial to mesenchymal transition in oral cancer.
200961
19 199860
20 200159

About Daniel M. Ramos

Daniel M. Ramos is a scholar working on Immunology and Allergy, Molecular Biology, Cell Biology, Oncology and Cancer Research, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (34 papers), Cellular Mechanics and Interactions (14 papers), Protease and Inhibitor Mechanisms (11 papers), Proteoglycans and glycosaminoglycans research (10 papers), Cancer Cells and Metastasis (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Head and Neck Cancer Studies (6 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Immunology and Allergy (1.1k citations), Cell Biology (528 citations), Cancer Research (434 citations), Oncology (428 citations) and Molecular Biology (1.1k citations). Daniel M. Ramos has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Robert Pytela, Randall H. Kramer, Dongmin Dang, Joseph A. Regezi, Dean Sheppard, Lynn M. Schnapp, Amha Atakilit, Mai Vu, Richard C. Jordan and Luciano Zardi. Their work appears in journals such as International Journal of Cancer, Biochemical and Biophysical Research Communications, European Archives of Oto-Rhino-Laryngology, Oral Oncology and Journal of Cell Science.

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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