Raphael Rubin

3.5k citations
68 papers · 3k · h-index 32

Impact in

Papers in

Raphael Rubin

66 papers receiving 2.9k citations

Peers

Raphael Rubin
Comparison fields: 5 of 95
  • Hepatology 766
  • Pathology and Forensic Medicine 344
  • Endocrinology, Diabetes and Metabolism 341
  • Pediatrics, Perinatology and Child Health 186
  • Hematology 182
Replace Shinya Sato with:
Shinya Sato Japan
Phuong T. Le United States
Holger Luthman Sweden
Thomas Maack United States
Marc R. Hammerman United States
Jens Høiriis Nielsen Denmark
Liliane J. Striker United States
Tadashi Yoshida Japan
Aldo Bernelli‐Zazzera Italy
David E. Dostal United States
Raphael Rubin relative to Shinya Sato Japan Shinya Sato's profile →
Citations per field
00.5×2×4×6×8×9.3×
Shinya Sato · 1×
Citations per year

Countries citing papers authored by Raphael Rubin

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Growth inhibition of human melanoma cells in nude mice by antisense strategies to the type 1 insulin-like growth factor receptor.
1994201
2 1999195
3 2008169
4 1984156
5 1994118
6 1998105
7 200598
8 199596
9 200596
10 199193
11 199691
12 199289
13 200082
14 198876
15 199574
16 199871
17 199870
18 199967
19 199159
20 198954

About Raphael Rubin

Raphael Rubin is a scholar working on Hepatology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Hematology and Molecular Biology, having authored 68 papers that have together received 3k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (14 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Platelet Disorders and Treatments (7 papers), Organ Transplantation Techniques and Outcomes (6 papers), Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Hepatology (766 citations), Pathology and Forensic Medicine (344 citations), Endocrinology, Diabetes and Metabolism (341 citations), Pediatrics, Perinatology and Child Health (186 citations) and Hematology (182 citations). Raphael Rubin has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include John L. Farber, Margaret L. Rand, Thomas Rooney, Santiago J. Muñoz, Andrea E. M. Seiler, Brian N. Ross, Domenico Coppola, Mariana Resnicoff, Willis C. Maddrey and Jan B. Hoek. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Hepatology, Journal of Neurochemistry, Archives of Biochemistry and Biophysics and Journal of Cellular Physiology.

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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