Gary Lu

2.2k citations
68 papers · 1.3k · h-index 20

Impact in

Papers in

    • Acute Myeloid Leukemia Research 24
    • Chronic Myeloid Leukemia Treatments 14
    • Multiple Myeloma Research and Treatments 8
    • Chronic Lymphocytic Leukemia Research 11
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 6

Gary Lu

67 papers receiving 1.3k citations

Peers

Gary Lu
Comparison fields: 5 of 114
  • Applied Microbiology and Biotechnology 68
  • Hematology 359
  • Pathology and Forensic Medicine 370
  • Genetics 218
  • Biochemistry 109
Replace Guoying Zhang with:
Guoying Zhang China
Jianlin Qiao China
Mark Hong Lee South Korea
Anna Pryczynicz Poland
Kamala Vanarsa United States
Hui Zhou China
Katarzyna Guzińska-Ustymowicz Poland
Hemant Giri United States
Alan Kramer United States
Shinichi Iwai Japan
Gary Lu relative to Guoying Zhang China Guoying Zhang's profile →
Citations per field
00.5×5.7×
Guoying Zhang · 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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010193
2 202092
3 201271
4
Population-based, case-control study of blood C-peptide level and breast cancer risk.
200169
5
Cancer prevention by tea and tea polyphenols.
200853
6 200452
7 200350
8 201149
9 201349
10 200847
11 201244
12 201043
13 201237
14 201432
15 200930
16 201429
17 201326
18 201324
19 201820
20 201519

About Gary Lu

Gary Lu is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (9 papers), Acute Lymphoblastic Leukemia research (8 papers), Multiple Myeloma Research and Treatments (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (68 citations), Hematology (359 citations), Pathology and Forensic Medicine (370 citations), Genetics (218 citations) and Biochemistry (109 citations). Gary Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include L. Jeffrey Medeiros, Chung S. Yang, Carlos E. Bueso‐Ramos, C. Cameron Yin, Hang Xiao, Huanyu Jin, Jie Liao, Guang‐Yu Yang, David Reisman and Fei Guan. Their work appears in journals such as American Journal of Clinical Pathology, Blood, Leukemia Research, 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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