Lan Lu

1.3k citations
20 papers · 683 · h-index 12

Impact in

  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms
    • Multiple Myeloma Research and Treatments
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions

Papers in

Lan Lu

19 papers receiving 671 citations

Peers

Lan Lu
Comparison fields: 5 of 70
  • Hematology 161
  • Cell Biology 210
  • Immunology and Allergy 40
  • Cancer Research 82
  • Genetics 47
Replace Yael Hegerfeldt with:
Yael Hegerfeldt Germany
Mary DeRome United States
Mayra García United States
Leo D. Wang United States
Maarit Takatalo Finland
Andrew S. Murray United States
Akiko Nagamachi Japan
Jarred J. Bultema United States
Christina Alves United States
Bianca R. Tomasini-Johansson United States
Lan Lu relative to Yael Hegerfeldt Germany Yael Hegerfeldt's profile →
Citations per field
00.5×4.5×
Yael Hegerfeldt · 1×
Citations per year

Countries citing papers authored by Lan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2008134
2 200387
3 201277
4 200862
5 202052
6 201549
7 200948
8 200839
9 202238
10 201636
11 201525
12
[Analysis of mutation of BIGH3 gene in Chinese patients with corneal dystrophies].
200311
13 20158
14 20136
15 20245
16 20162
17
[Identification of BIGH3 gene mutations in the patients with two types of corneal dystrophies].
20042
18 20131
19 20121
20 20140

About Lan Lu

Lan Lu is a scholar working on Hematology, Molecular Biology, Cell Biology, Immunology and Allergy and Immunology, having authored 20 papers that have together received 683 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Cellular Mechanics and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers), Immune Cell Function and Interaction (2 papers), Tendon Structure and Treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Hematology (161 citations), Cell Biology (210 citations), Immunology and Allergy (40 citations), Cancer Research (82 citations) and Genetics (47 citations). Lan Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Sara J. Oswald, Frank C.-P. Yin, Hai Ngu, George Broze, Jing Zhang, Yunfeng Feng, Michael H. Tomasson, Gregory D. Longmore, Ravi Vij and William J. Hucker. Their work appears in journals such as Blood, Biophysical Journal, PLoS ONE, Molecular Cancer Therapeutics and Journal of Nuclear Medicine.

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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