Hongfang Wang

5.9k citations
90 papers · 2.0k indexed · h-index 21

Hongfang Wang

83 papers receiving 2.0k citations

Peers

Hongfang Wang
Comparison fields: 5 of 134
  • Hematology 313
  • Immunology 459
  • Molecular Biology 1.2k
  • Oncology 435
  • Cancer Research 169
Replace Hai Fang with:
Hai Fang China
Pierluigi Strippoli Italy
Christian A. Gleissner Germany
Wencke Walter Germany
Véronique Voisin Canada
Xuerong Wang China
Hitoshi Nomura Japan
Ray B. Nagle United States
Kazushige Maki Japan
Xufeng Chen China
Hongfang Wang relative to Hai Fang China Hai Fang's profile →
Citations per field
00.5×1.5×
Hai Fang · 1×
Citations per year

Countries citing papers authored by Hongfang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongfang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20249
5 20245
6 20242
7 20235
8 20232
9 20233
10 20231
11 20233
12 20194
13 20171
14 2014133
15
Characteristics of Heavy Mineral in Coarse Sediment and Its Indicative Significance in the Ningxia-Inner Mongolia Section of the Yellow River
20135
16 20116
17
Study for Spatial Decision Support System Based on GIS
20091
18
Effect of Alfalfa Saponins on Production Performance,Yolk Cholesterol and Egg Traits of Layers
20091
19
FRNK inhibited hepatic stellate cells in vitro
20081
20 20055

About Hongfang Wang

Hongfang Wang is a scholar working on Hematology, Complementary and alternative medicine and Immunology, having authored 90 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), Acute Myeloid Leukemia Research (8 papers), Plasma Applications and Diagnostics (6 papers), Cancer-related gene regulation (6 papers), CAR-T cell therapy research (6 papers), Electrohydrodynamics and Fluid Dynamics (5 papers), Immune Cell Function and Interaction (5 papers) and Synthesis and Biological Evaluation (4 papers). The work is most often cited by research in Hematology (313 citations), Immunology (459 citations) and Molecular Biology (1.2k citations). Hongfang Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Jon C. Aster, Stephen C. Blacklow, Kelly L. Arnett, Chongzhi Zang, X. Shirley Liu, Warren S. Pear, B Bernstein, Gerald J. Spangrude, Lauren Pierce and Elliott Kieff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine 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.

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