F. Wang
Impact in
-
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- High-Energy Particle Collisions Research 8
- Quantum Chromodynamics and Particle Interactions 5
- Particle physics theoretical and experimental studies 4
- Nuclear physics research studies 2
-
- Nuclear reactor physics and engineering 3
- Co-authors
- Matthias A. Clauss (1 shared paper)D Stern (1 shared paper)Herwig Gerlach (1 shared paper)P C Familletti (1 shared paper)Jerold Brett (1 shared paper)Y.-C. E. Pan (1 shared paper)Jitka V. Olander (1 shared paper)Daniel T. Connolly (1 shared paper)
- Journals
- Physical Review C (5 papers)Nuclear Physics A (3 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
F. Wang
10 papers receiving 1.1k citations
F. Wang's Hit Papers
Peers
Comparison fields: 5 of 94
- Nuclear and High Energy Physics 418
- Immunology and Allergy 91
- Internal Medicine 48
- Cancer Research 149
- Hematology 83
Countries citing papers authored by F. Wang
This map shows the geographic impact of F. Wang'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 F. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Wang more than expected).
Fields of papers citing papers by F. Wang
This network shows the impact of papers produced by F. Wang. 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 F. Wang. The network helps show where F. Wang may publish in the future.
Co-authors
The 14 scholars most cited alongside F. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Vascular permeability factor: a tumor-derived polypeptide that induces endothelial cell and monocyte procoagulant activity, and promotes monocyte migration. Hit paper breakdown → | 1990 | 739 |
| 2 | 1998 | 118 | |
| 3 | 1999 | 103 | |
| 4 | 1999 | 71 | |
| 5 | 1998 | 71 | |
| 6 | 1999 | 42 | |
| 7 | 1995 | 14 | |
| 8 | 1998 | 3 | |
| 9 | 2002 | 2 | |
| 10 | 1999 | 1 |
About F. Wang
F. Wang is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Radiation, Hematology and Cancer Research, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (8 papers), Quantum Chromodynamics and Particle Interactions (5 papers), Particle physics theoretical and experimental studies (4 papers), Nuclear reactor physics and engineering (3 papers), Nuclear physics research studies (2 papers), Blood Coagulation and Thrombosis Mechanisms (1 paper), Terahertz technology and applications (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (418 citations), Immunology and Allergy (91 citations), Internal Medicine (48 citations), Cancer Research (149 citations) and Hematology (83 citations). F. Wang has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Matthias A. Clauss, D Stern, Herwig Gerlach, P C Familletti, Jerold Brett, Y.-C. E. Pan, Jitka V. Olander, Daniel T. Connolly, Marlene L. Gerlach and E. Knoesel. Their work appears in journals such as Physical Review C, Nuclear Physics A and The Journal of Experimental Medicine.
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.