H.‐J. Lv

869 citations
89 papers · 574 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Renal Transplantation Outcomes and Treatments

Papers in

    • T-cell and B-cell Immunology 56
    • Immune Cell Function and Interaction 55
    • Immunotherapy and Immune Responses 46
    • Hematopoietic Stem Cell Transplantation 3
    • Platelet Disorders and Treatments 3
    • Blood groups and transfusion 3

H.‐J. Lv

83 papers receiving 555 citations

Peers

H.‐J. Lv
Comparison fields: 5 of 74
  • Immunology 240
  • Transplantation 29
  • Molecular Medicine 34
  • Clinical Biochemistry 36
  • Infectious Diseases 74
Replace Ina J. Amber with:
Ina J. Amber United States
Amanda Z. Zucoloto Canada
Jonathan P. Davies United States
Jingyuan Liu China
Cornelis van’t Veer Netherlands
Yvon Roche France
Laura De Petris Italy
Xianhui Qiu China
Yong Kyung Choe South Korea
Jean-Marc Cavaillon France
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Citations per field
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Citations per year

Countries citing papers authored by H.‐J. Lv

Since Specialization
Citations

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

Fields of papers citing papers by H.‐J. Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.‐J. Lv. 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 H.‐J. Lv. The network helps show where H.‐J. Lv may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201578
2 201537
3 201620
4 201119
5 201515
6 201315
7 201313
8 200913
9 202313
10 201313
11 201613
12 202112
13 201512
14 202112
15 202211
16 201510
17 20129
18 20119
19 20139
20 20119

About H.‐J. Lv

H.‐J. Lv is a scholar working on Immunology, Hematology, Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 89 papers that have together received 574 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (56 papers), Immune Cell Function and Interaction (55 papers), Immunotherapy and Immune Responses (46 papers), Acute Ischemic Stroke Management (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Platelet Disorders and Treatments (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Immunology (240 citations), Transplantation (29 citations), Molecular Medicine (34 citations), Clinical Biochemistry (36 citations) and Infectious Diseases (74 citations). H.‐J. Lv has collaborated with scholars based in China, United States and Cyprus. Frequent co-authors include Faming Zhu, W. Zhang, Ji He, L.‐X. Yan, Sudan Tao, J. He, Yunlei He, Yan He, Jianzhong Shen and Shi Nae Yu. Their work appears in journals such as International Journal of Immunogenetics, Transfusion Medicine, Microchemical Journal, Stroke and Vascular Neurology and Neurological Sciences.

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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