Jin Lu

4.3k citations
138 papers · 1.2k indexed · h-index 18

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 51
    • Acute Myeloid Leukemia Research 14
    • Hematopoietic Stem Cell Transplantation 9
    • Chronic Lymphocytic Leukemia Research 12

Jin Lu

123 papers receiving 1.2k citations

Peers

Jin Lu
Comparison fields: 5 of 128
  • Hematology 546
  • Genetics 158
  • Oncology 394
  • Cancer Research 183
  • Immunology 198
Replace Yvette C. Tanhehco with:
Yvette C. Tanhehco United States
Jan Philipp Bewersdorf United States
Francesco La Rocca Italy
Luke P. Akard United States
Lionel D’Hondt Belgium
Céline Berthon France
Zhongxing Jiang China
Jeena Joseph India
Bianca Serio Italy
Chudy I. Nduaka United States
Jin Lu relative to Yvette C. Tanhehco United States Yvette C. Tanhehco's profile →
Citations per field
00.5×5.1×
Yvette C. Tanhehco · 1×
Citations per year

Countries citing papers authored by Jin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20242
5 20244
6 20240
7 20243
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9 20241
10 20238
11 202313
12 20232
13 201855
14 201716
15 201733
16 20169
17 20158
18 20154
19 201466
20
[Analysis of risk factors for the development of acute graft-versus-host disease in 151 cases of allo-hematopoietic stem cell transplantation].
20051

About Jin Lu

Jin Lu is a scholar working on Hematology, Genetics, Oncology, Immunology and Molecular Biology, having authored 138 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (51 papers), Protein Degradation and Inhibitors (19 papers), Peptidase Inhibition and Analysis (15 papers), Acute Myeloid Leukemia Research (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (11 papers), Hematopoietic Stem Cell Transplantation (9 papers) and Acute Lymphoblastic Leukemia research (8 papers). The work is most often cited by research in Hematology (546 citations), Genetics (158 citations), Oncology (394 citations), Cancer Research (183 citations) and Immunology (198 citations). Jin Lu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiao‐Jun Huang, Qian Jiang, Jian Hou, Qing Ge, Meng Lv, Wei Chen, Hao Jiang, Tao Jiang, Haibo Jia and Bo Huang. Their work appears in journals such as Blood, Frontiers in Oncology, Annals of Hematology, Frontiers in Immunology and Leukemia Research.

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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