Lu H

6.1k citations
196 papers · 5.0k · h-index 39

Impact in

Papers in

    • Protease and Inhibitor Mechanisms 32
    • Cancer, Hypoxia, and Metabolism 7
    • Cancer-related molecular mechanisms research 6
    • Cell Adhesion Molecules Research 17

Lu H

186 papers receiving 4.8k citations

Peers

Lu H
Comparison fields: 5 of 166
  • Cancer Research 1.2k
  • Immunology and Allergy 372
  • Hematology 499
  • Molecular Biology 2.3k
  • Internal Medicine 108
Replace Douglas D. Boyd with:
Douglas D. Boyd United States
Joseph J. Boyle United Kingdom
Kailin Xu China
Min‐Liang Kuo Taiwan
Bo Wang China
Xianwei Wang China
Yoshihiro Kakeji Japan
Magnus S. Ågren Denmark
Liang Li China
Hongbing Zhang China
Lu H relative to Douglas D. Boyd United States Douglas D. Boyd's profile →
Citations per field
00.5×2×4×6×8×9×
Douglas D. Boyd · 1×
Citations per year

Countries citing papers authored by Lu H

Since Specialization
Citations

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

Fields of papers citing papers by Lu H

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004226
2 1998219
3 1996188
4 2010145
5 2006138
6 2022136
7 2018128
8 1999123
9 1989113
10 1998110
11 2000100
12 201399
13 200198
14 201395
15
Down-regulation of vascular endothelial growth factor by tissue inhibitor of metalloproteinase-2: effect on in vivo mammary tumor growth and angiogenesis.
200190
16 200188
17 199384
18 202184
19 200480
20 200376

About Lu H

Lu H is a scholar working on Cancer Research, Immunology and Allergy, Hematology, Genetics and Molecular Biology, having authored 196 papers that have together received 5.0k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (32 papers), Angiogenesis and VEGF in Cancer (19 papers), Cell Adhesion Molecules Research (17 papers), Blood Coagulation and Thrombosis Mechanisms (15 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers), Platelet Disorders and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology and Allergy (372 citations), Hematology (499 citations), Molecular Biology (2.3k citations) and Internal Medicine (108 citations). Lu H has collaborated with scholars based in China, France and United States. Frequent co-authors include Claudine Soria, Paule Opolon, Jeannette Soria, Michel Perricaudet, Suzanne Ménashi, Hong Li, J. Soria, Y Legrand, Frank Griscelli and Patrice Yeh. Their work appears in journals such as Thrombosis Research, International Journal of Cancer, Human Gene Therapy, Blood and FEBS Letters.

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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