Ben K. Seon

98 papers receiving 2.4k citations

Peers

Ben K. Seon
Comparison fields: 5 of 91
  • Genetics 428
  • Immunology 580
  • Cancer Research 363
  • Immunology and Allergy 134
  • Radiology, Nuclear Medicine and Imaging 482
Replace J. T. Kemshead with:
J. T. Kemshead United Kingdom
Stuart Lutzker United States
Silvia Miotti Italy
Takashi Imai Japan
Martina Rudelius Germany
Mary L. Bath Australia
Carla J. de Boer Netherlands
Tomoyuki Kawamoto Japan
Daniel L. Shawler United States
Katsuyuki Ohmori Japan
Ben K. Seon relative to J. T. Kemshead United Kingdom J. T. Kemshead's profile →
Citations per field
00.5×8.7×
J. T. Kemshead · 1×
Citations per year

Countries citing papers authored by Ben K. Seon

Since Specialization
Citations

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

Fields of papers citing papers by Ben K. Seon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997257
2 1979165
3 2012149
4
Long-lasting complete inhibition of human solid tumors in SCID mice by targeting endothelial cells of tumor vasculature with antihuman endoglin immunotoxin.
1997137
5
Antiangiogenic therapy of established tumors in human skin/severe combined immunodeficiency mouse chimeras by anti-endoglin (CD105) monoclonal antibodies, and synergy between anti-endoglin antibody and cyclophosphamide.
2001126
6
Induction of lasting complete regression of preformed distinct solid tumors by targeting the tumor vasculature using two new anti-endoglin monoclonal antibodies.
1999122
7 2010112
8 2003102
9 198275
10 199963
11 201462
12 200955
13 200353
14 198653
15 200846
16 198741
17 197838
18 201637
19 200634
20 198833

About Ben K. Seon

Ben K. Seon is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Biotechnology, having authored 101 papers that have together received 2.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (37 papers), Glycosylation and Glycoproteins Research (21 papers), Angiogenesis and VEGF in Cancer (17 papers), Cancer Cells and Metastasis (11 papers), Cancer, Hypoxia, and Metabolism (11 papers), Toxin Mechanisms and Immunotoxins (10 papers), T-cell and Retrovirus Studies (9 papers) and Transgenic Plants and Applications (9 papers). The work is most often cited by research in Genetics (428 citations), Immunology (580 citations), Cancer Research (363 citations), Immunology and Allergy (134 citations) and Radiology, Nuclear Medicine and Imaging (482 citations). Ben K. Seon has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Yuro Haruta, Fumihiko Matsuno, David Pressman, Maurice Barcos, A.A. Sandberg, Hilda Tsai, Seiichi Matsui, Masao Kondo, Akinao Haba and Shigeru Negoro. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, Proceedings of the National Academy of Sciences, International Journal of Cancer and Leukemia Research.

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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