Erbin Dai

1.8k citations
57 papers · 1.5k · h-index 24

Impact in

Papers in

    • Coronary Interventions and Diagnostics 5
    • Tissue Engineering and Regenerative Medicine 5
    • Blood Coagulation and Thrombosis Mechanisms 8
    • Platelet Disorders and Treatments 6

Erbin Dai

55 papers receiving 1.4k citations

Peers

Erbin Dai
Comparison fields: 5 of 98
  • Immunology and Allergy 92
  • Biomaterials 219
  • Immunology 308
  • Hematology 154
  • Periodontics 57
Replace Ian Hampson with:
Ian Hampson United Kingdom
Abha Sahni United States
Pieter Schoen Netherlands
Leigh G. Griffiths United States
Ryuichi Fujisawa Japan
Sakuhei Fujiwara Japan
Akihiko Sano Japan
M Hormia Finland
Maroun Khoury Chile
Samir W. Hamaia United Kingdom
Erbin Dai relative to Ian Hampson United Kingdom Ian Hampson's profile →
Citations per field
00.5×2×2.7×
Ian Hampson · 1×
Citations per year

Countries citing papers authored by Erbin Dai

Since Specialization
Citations

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

Fields of papers citing papers by Erbin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013141
2 2016108
3 199695
4 200086
5 201576
6 201260
7 200049
8 200349
9 200046
10 200446
11 201045
12 201540
13 201438
14 202138
15 200637
16 200635
17 201633
18 199733
19 201331
20 201830

About Erbin Dai

Erbin Dai is a scholar working on Surgery, Hematology, Immunology, Cancer Research and Oncology, having authored 57 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (11 papers), Cell Adhesion Molecules Research (8 papers), Blood Coagulation and Thrombosis Mechanisms (8 papers), Platelet Disorders and Treatments (6 papers), interferon and immune responses (5 papers), Coronary Interventions and Diagnostics (5 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Biochemical and Structural Characterization (4 papers). The work is most often cited by research in Immunology and Allergy (92 citations), Biomaterials (219 citations), Immunology (308 citations), Hematology (154 citations) and Periodontics (57 citations). Erbin Dai has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Carolyn A. Haller, Elliot L. Chaikof, Alexandra Lucas, Grant McFadden, Alexandra Lucas, Jeffrey M. Caves, Liying Liu, Stephanie Grainger, Vivek Kumar and Liying Liu. Their work appears in journals such as Photochemistry and Photobiology, PLoS ONE, Circulation, Journal of Biological Chemistry and Thrombosis and Haemostasis.

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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