Boris Vaisman

4.8k citations
89 papers · 3.9k · h-index 36

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 37
    • Lipoproteins and Cardiovascular Health 13
    • Peroxisome Proliferator-Activated Receptors 11

Boris Vaisman

89 papers receiving 3.8k citations

Peers

Boris Vaisman
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 989
  • Surgery 2.1k
  • Cancer Research 707
  • Biochemistry 310
  • Oncology 659
Replace Franco Bernini with:
Franco Bernini Italy
Raul Cavalcante Maranhão Brazil
Takato Ueno Japan
Ryuichi Noguchi Japan
Mariko Harada‐Shiba Japan
Assunta Pandolfi Italy
Lillemor Mattsson Hultén Sweden
Simon Jackson United States
J.A. Gevers Leuven Netherlands
Xiaoyun Fu United States
Boris Vaisman relative to Franco Bernini Italy Franco Bernini's profile →
Citations per field
00.5×1.5×1.9×
Franco Bernini · 1×
Citations per year

Countries citing papers authored by Boris Vaisman

Since Specialization
Citations

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

Fields of papers citing papers by Boris Vaisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001231
2 1996195
3 2001190
4 1999178
5 2001178
6 1997172
7 2009140
8 1999132
9 1995103
10 2001100
11 199793
12 199692
13 201383
14 201180
15 201080
16 201669
17 200669
18 200466
19 199766
20 200462

About Boris Vaisman

Boris Vaisman is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology and Cancer Research, having authored 89 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (37 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Lipoproteins and Cardiovascular Health (13 papers), Drug Transport and Resistance Mechanisms (13 papers), Peroxisome Proliferator-Activated Receptors (11 papers), Cancer, Lipids, and Metabolism (9 papers), Lipid metabolism and biosynthesis (9 papers) and Hemoglobinopathies and Related Disorders (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (989 citations), Surgery (2.1k citations), Cancer Research (707 citations), Biochemistry (310 citations) and Oncology (659 citations). Boris Vaisman has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Alan T. Remaley, Silvia Santamarina-Fojo, Marcelo Amar, Robert D. Shamburek, Robert F. Hoyt, H Bryan Brewer, Abraham M. Konijn, Beverly Paigen, H. Bryan Brewer and Charles Joyce. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Blood, Journal of Pharmacology and Experimental Therapeutics and Atherosclerosis.

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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