Pin Lu
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 20
- Chronic Lymphocytic Leukemia Research 20
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- Lymphoma Diagnosis and Treatment 14
- Co-authors
- Y. Lynn Wang (20 shared papers)Ailin Guo (9 shared papers)Morton Coleman (6 shared papers)Shuhua Cheng (6 shared papers)Jiao Ma (5 shared papers)Richard R. Furman (4 shared papers)Susanne M. Steggerda (1 shared paper)Greg Coffey (4 shared papers)
- Journals
- Blood (6 papers)Oncotarget (3 papers)Blood Advances (3 papers)Clinical Cancer Research (2 papers)Molecular Cancer Research (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Pin Lu
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Genetics 804
- Pathology and Forensic Medicine 589
- Hematology 214
- Immunology 339
- Oncology 208
Countries citing papers authored by Pin Lu
This map shows the geographic impact of Pin 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 Pin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Lu more than expected).
Fields of papers citing papers by Pin Lu
This network shows the impact of papers produced by Pin 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 Pin Lu. The network helps show where Pin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 263 | |
| 2 | 2017 | 115 | |
| 3 | 2011 | 88 | |
| 4 | 2014 | 80 | |
| 5 | 2016 | 77 | |
| 6 | 2012 | 76 | |
| 7 | 2018 | 54 | |
| 8 | 2010 | 48 | |
| 9 | 2017 | 47 | |
| 10 | 2015 | 47 | |
| 11 | 2018 | 43 | |
| 12 | 2021 | 38 | |
| 13 | 2018 | 33 | |
| 14 | 2006 | 31 | |
| 15 | 2019 | 15 | |
| 16 | 2021 | 14 | |
| 17 | 2015 | 9 | |
| 18 | 2022 | 4 | |
| 19 | 2013 | 4 | |
| 20 | Progress of genetic diversity study and protocols for in-situ conservation on semi-wild Tibetan wheat | 2002 | 3 |
About Pin Lu
Pin Lu is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Hematology and Dermatology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (20 papers), Lymphoma Diagnosis and Treatment (14 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Galectins and Cancer Biology (3 papers), Forest Ecology and Biodiversity Studies (2 papers), Ecology and Vegetation Dynamics Studies (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). The work is most often cited by research in Genetics (804 citations), Pathology and Forensic Medicine (589 citations), Hematology (214 citations), Immunology (339 citations) and Oncology (208 citations). Pin Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Y. Lynn Wang, Ailin Guo, Morton Coleman, Shuhua Cheng, Jiao Ma, Richard R. Furman, Susanne M. Steggerda, Greg Coffey, Joelle Racchumi and Guozhou Xu. Their work appears in journals such as Blood, Oncotarget, Blood Advances, Clinical Cancer Research and Molecular Cancer 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.