Eric Chun‐Yet Lian

2.0k citations
9 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Platelet Disorders and Treatments (5 papers)Blood Coagulation and Thrombosis Mechanisms (4 papers)Complement system in diseases (3 papers)
Partner nations
United StatesChina

In The Last Decade

Eric Chun‐Yet Lian

9 papers receiving 1.4k citations

Hit Papers

Antibodies to von Willebrand Factor–Cleaving Protease in ...199820262007201619984008001.2k

Peers

Eric Chun‐Yet Lian
Comparison fields: 5 of 62
  • Immunology 1.2k
  • Hematology 836
  • Nephrology 662
  • Genetics 395
  • Epidemiology 111
Replace Sara Gastoldi with:
Sara Gastoldi Italy
Hirohito Yamazaki Japan
Roy Ward United Kingdom
Nicole Schlagwein Netherlands
Daniëlle J. van Gijlswijk‐Janssen Netherlands
Paul Brookes United Kingdom
CA Ries United States
Lillemor Skattum Sweden
Masanao Teramura Japan
Y C Ng United Kingdom
Eric Chun‐Yet Lian relative to Sara Gastoldi Italy Sara Gastoldi's profile →
Citations per field
00.5×1.5×2.0×
Sara Gastoldi · 1×
Citations per year

Countries citing papers authored by Eric Chun‐Yet Lian

Since Specialization
Citations

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

Fields of papers citing papers by Eric Chun‐Yet Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Chun‐Yet Lian. 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 Eric Chun‐Yet Lian. The network helps show where Eric Chun‐Yet Lian may publish in the future.

Co-authorship network of co-authors of Eric Chun‐Yet Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Chun‐Yet Lian. A scholar is included among the top collaborators of Eric Chun‐Yet Lian 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 Eric Chun‐Yet Lian. Eric Chun‐Yet Lian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 29
2 25
3
Antibodies to von Willebrand Factor–Cleaving Protease in Acute Thrombotic Thrombocytopenic Purpurabreakdown →
1288
4 8
5 34
6 11
7 13
8 8
9 31

About Eric Chun‐Yet Lian

Eric Chun‐Yet Lian is a scholar working on Hematology, Genetics and Immunology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Nephrology (662 citations), Hematology (836 citations) and Immunology (1.2k citations). Eric Chun‐Yet Lian has collaborated with scholars based in United States and China. Frequent co-authors include Han‐Mou Tsai, Daniel Deykin, David Andrews, Andreas G. Tzakis and Donald R. Harkness. Their work appears in journals such as New England Journal of Medicine, The American Journal of Medicine 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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