Gary Lu

2.0k citations
62 papers · 1.3k · h-index 19

Impact in

Papers in

    • Acute Myeloid Leukemia Research 26
    • Chronic Myeloid Leukemia Treatments 15
    • Multiple Myeloma Research and Treatments 8
    • Chronic Lymphocytic Leukemia Research 15
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7

Gary Lu

62 papers receiving 1.2k citations

Peers

Gary Lu
Comparison fields: 5 of 109
  • Applied Microbiology and Biotechnology 75
  • Hematology 379
  • Genetics 255
  • Pathology and Forensic Medicine 394
  • Biochemistry 122
Replace Mark Hong Lee with:
Mark Hong Lee South Korea
Olga K. Weinberg United States
Jianlin Qiao China
Junmin Zhou United States
Hiroshi Tazaki Japan
Kamala Vanarsa United States
Dapeng Wu China
Xia Bai China
Elisabeth Koller Austria
Liang-Shun Wang Taiwan
Gary Lu relative to Mark Hong Lee South Korea Mark Hong Lee's profile →
Citations per field
00.5×8.7×
Mark Hong Lee · 1×
Citations per year

Countries citing papers authored by Gary Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gary Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010192
2 202089
3 201270
4
Population-based, case-control study of blood C-peptide level and breast cancer risk.
200169
5
Cancer prevention by tea and tea polyphenols.
200854
6 200452
7 200350
8 201149
9 200847
10 201244
11 201043
12 201237
13 201432
14 200930
15 201429
16 201326
17 201322
18 201819
19 201118
20 201518

About Gary Lu

Gary Lu is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Chronic Lymphocytic Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (15 papers), Lymphoma Diagnosis and Treatment (10 papers), Multiple Myeloma Research and Treatments (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Acute Lymphoblastic Leukemia research (7 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (75 citations), Hematology (379 citations), Genetics (255 citations), Pathology and Forensic Medicine (394 citations) and Biochemistry (122 citations). Gary Lu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include L. Jeffrey Medeiros, Chung S. Yang, Carlos E. Bueso‐Ramos, Hang Xiao, C. Cameron Yin, Jie Liao, Huanyu Jin, Guang‐Yu Yang, David Reisman and Fei Guan. Their work appears in journals such as American Journal of Clinical Pathology, Leukemia Research, Blood, Annals of Oncology and Modern Pathology.

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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