Jing-fei Dong

8.8k citations
85 papers · 6.9k indexed · 1 hit paper · h-index 44
Topics
Platelet Disorders and Treatments (44 papers)Complement system in diseases (21 papers)Blood properties and coagulation (12 papers)

In The Last Decade

Jing-fei Dong

85 papers receiving 6.8k citations

Hit Papers

ADAMTS-13 rapidly cleaves newly secreted ultralarge von W...20022026201020182002200400600

Peers

Jing-fei Dong
Comparison fields: 5 of 127
  • Hematology 3.3k
  • Immunology 2.0k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Molecular Biology 1.3k
  • Surgery 987
Replace Perumal Thiagarajan with:
Perumal Thiagarajan United States
Jean‐Marie Freyssinet France
Barbara A. Konkle United States
Yeon S. Ahn United States
Karen Vanhoorelbeke Belgium
Catherine P.M. Hayward Canada
José A. López United States
H K Nieuwenhuis Netherlands
Shosaku� Nomura Japan
Florence Toti France
Jing-fei Dong relative to Perumal Thiagarajan United States Perumal Thiagarajan's profile →
Citations per field
00.5×1.7×
Perumal Thiagarajan · 1×
Citations per year

Countries citing papers authored by Jing-fei Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jing-fei Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing-fei Dong. 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 Jing-fei Dong. The network helps show where Jing-fei Dong may publish in the future.

Co-authorship network of co-authors of Jing-fei Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Jing-fei Dong. A scholar is included among the top collaborators of Jing-fei Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing-fei Dong. Jing-fei Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 106
2 23
3 25
4 88
5 42
6 16
7 55
8 153
9 36
10 35
11 35
12 260
13 38
14 17
15 11
16 82
17 109
18 57
19 66
20 72

About Jing-fei Dong

Jing-fei Dong is a scholar working on Hematology, Internal Medicine and Immunology and Allergy, having authored 85 papers that have together received 6.9k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (44 papers), Complement system in diseases (21 papers) and Blood properties and coagulation (12 papers). The work is most often cited by research in Hematology (3.3k citations), Internal Medicine (539 citations) and Immunology (2.0k citations). Jing-fei Dong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Larry V. McIntire, Leticia Nolasco, Aubrey Bernardo, Joel L. Moake, José A. López, José A. López, Angela L. Bergeron, Miguel A. Crúz, José A. López and Chalmette Ball. Their work appears in journals such as Physical Review Letters, Journal of Biological Chemistry and Circulation.

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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