Hong San

5.2k citations
46 papers · 3.9k indexed · 1 hit paper · h-index 29

Impact in

    • RNA Interference and Gene Delivery
    • Heme Oxygenase-1 and Carbon Monoxide
    • Angiogenesis and VEGF in Cancer
    • Nuclear Structure and Function
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing

Papers in

Hong San

45 papers receiving 3.7k citations

Hit Papers

4D physiologically adaptable cardiac patch: A 4-month in vivo study for the treatment of myocardial infarction 2020 · 169 citations
169202020262022202450100150

Peers

Hong San
Comparison fields: 5 of 108
  • Molecular Biology 2.6k
  • Immunology and Allergy 229
  • Genetics 786
  • Cancer Research 388
  • Immunology 422
Replace Jeffrey C. Horowitz with:
Jeffrey C. Horowitz United States
Giancarlo De Luca Italy
Toshiyuki Ikeda Japan
Ronald H. Goldstein United States
Yin‐Shan Ng United States
Barbara Ferris United States
Georges Uzan France
F Sanavio Italy
Craig A. Henke United States
Giuseppe Pintucci United States
Hong San relative to Jeffrey C. Horowitz United States Jeffrey C. Horowitz's profile →
Citations per field
00.5×2.8×
Jeffrey C. Horowitz · 1×
Citations per year

Countries citing papers authored by Hong San

Since Specialization
Citations

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

Fields of papers citing papers by Hong San

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
4D physiologically adaptable cardiac patch: A 4-month in vivo study for the treatment of myocardial infarction
Hit paper breakdown →
2020169
2 201819
3 201818
4 201736
5 20149
6 201016
7 200831
8 200851
9 200669
10 200444
11 200443
12 2001101
13 2001445
14 200043
15 199733
16 199680
17 199514
18 1993197
19 1993135
20 1992166

About Hong San

Hong San is a scholar working on Immunology and Allergy, Immunology, Genetics, Molecular Biology and Oncology, having authored 46 papers that have together received 3.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Angiogenesis and VEGF in Cancer (11 papers), RNA Interference and Gene Delivery (6 papers), CRISPR and Genetic Engineering (6 papers), Cancer-related Molecular Pathways (5 papers), Pluripotent Stem Cells Research (4 papers), Cell Adhesion Molecules Research (4 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Immunology and Allergy (229 citations), Genetics (786 citations), Cancer Research (388 citations) and Immunology (422 citations). Hong San has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Gary J. Nabel, Elizabeth G. Nabel, David J. Gordon, Manfred Boehm, Vincent J. Pompili, E G Nabel, Zhiyong Yang, Andrea L. True, Michelle Olive and Takeshi Ohno. Their work appears in journals such as Journal of Clinical Investigation, Human Gene Therapy, Proceedings of the National Academy of Sciences, Scientific Reports and Circulation 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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