D Lu

485 citations
13 papers · 378 · h-index 10

Impact in

  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms
    • Hemophilia Treatment and Research
    • Venous Thromboembolism Diagnosis and Management

Papers in

    • Epigenetics and DNA Methylation 1
    • Blood Coagulation and Thrombosis Mechanisms 4
    • Hemophilia Treatment and Research 3

D Lu

12 papers receiving 365 citations

Peers

D Lu
Comparison fields: 5 of 56
  • Hematology 158
  • Internal Medicine 30
  • Genetics 65
  • Endocrine and Autonomic Systems 28
  • Cell Biology 47
Replace Christelle Nonne with:
Christelle Nonne France
Anne C. Brisset Switzerland
B Fong Canada
Shiangtung W. Jung United States
Julia Volz Germany
Gabriella Zecchina Italy
AM Randi United Kingdom
Shirley A. Steward United States
Alexia Eliades United States
Thomas A. Blair United States
D Lu relative to Christelle Nonne France Christelle Nonne's profile →
Citations per field
00.5×
Christelle Nonne · 1×
Citations per year

Countries citing papers authored by D Lu

Since Specialization
Citations

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

Fields of papers citing papers by D Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 199689
2
The melanocortin receptors: agonists, antagonists, and the hormonal control of pigmentation: Recent Prog Horm Res
199647
3 199646
4 201145
5 201740
6 202332
7 201828
8 199417
9 202511
10 199411
11 20228
12 19994
13 20060

About D Lu

D Lu is a scholar working on Molecular Biology, Hematology, Genetics, Epidemiology and Cell Biology, having authored 13 papers that have together received 378 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (4 papers), Hemophilia Treatment and Research (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Dye analysis and toxicity (1 paper), Ultrasound Imaging and Elastography (1 paper), Ferroptosis and cancer prognosis (1 paper), Epigenetics and DNA Methylation (1 paper) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Hematology (158 citations), Internal Medicine (30 citations), Genetics (65 citations), Endocrine and Autonomic Systems (28 citations) and Cell Biology (47 citations). D Lu has collaborated with scholars based in United States and China. Frequent co-authors include Michael Kalafatis, KG Mann, R M Bertina, Xiuping Zhou, Edwin G. Bovill, David Sherris, Yulin Jia, Shun Li, George L. Long and Qin Yang. Their work appears in journals such as Blood, Signal Transduction and Targeted Therapy, Oncogene, Phytomedicine and Academic Radiology.

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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