Harold Bien

2.6k citations
31 papers · 2.0k · h-index 18

Impact in

Papers in

Harold Bien

30 papers receiving 1.9k citations

Peers

Harold Bien
Comparison fields: 5 of 106
  • Biomaterials 656
  • Cellular and Molecular Neuroscience 406
  • Immunology 388
  • Biomedical Engineering 607
  • Oncology 280
Replace Xiaojun Lian with:
Xiaojun Lian United States
Yongchao Mou United States
Locke Davenport Huyer Canada
Tatsuya Osaki Japan
Do Won Hwang South Korea
Moran Yadid Israel
Sara S. Nunes Canada
Edward A. Phelps United States
Valentina Martinelli Italy
Sergey V. Doronin United States
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Citations per field
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Citations per year

Countries citing papers authored by Harold Bien

Since Specialization
Citations

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

Fields of papers citing papers by Harold Bien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005476
2 1999349
3 2004237
4 2011155
5 2016114
6 201490
7
Extra-lymphatic solid tumor growth is not immunologically ignored and results in early induction of antigen-specific T-cell anergy: dominant role of cross-tolerance to tumor antigens.
200389
8 200565
9 200762
10 200459
11 200640
12 201732
13 200328
14 200327
15 201024
16 200919
17 201217
18 200417
19 202311
20 200710

About Harold Bien

Harold Bien is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery and Molecular Biology, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neural Engineering (8 papers), Photoreceptor and optogenetics research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Cellular Mechanics and Interactions (5 papers), 3D Printing in Biomedical Research (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Biomaterials (656 citations), Cellular and Molecular Neuroscience (406 citations), Immunology (388 citations), Biomedical Engineering (607 citations) and Oncology (280 citations). Harold Bien has collaborated with scholars based in United States. Frequent co-authors include Emilia Entcheva, Xinhua Zong, C.Y. Chung, Benjamin S. Hsiao, Benjamin Chu, Ivan Borrello, Eduardo M. Sotomayor, Lihong Yin, Yordan Kostov and Stephen P. Schoenberger. Their work appears in journals such as Biomaterials, Biophysical Journal, Seminars in Oncology, Nature Communications and Biomedical Microdevices.

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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