Pei Lin

9.8k total citations
224 papers, 5.4k citations indexed

About

Pei Lin is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Pei Lin has authored 224 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Hematology, 90 papers in Genetics and 90 papers in Pathology and Forensic Medicine. Recurrent topics in Pei Lin's work include Lymphoma Diagnosis and Treatment (85 papers), Chronic Lymphocytic Leukemia Research (64 papers) and Acute Myeloid Leukemia Research (53 papers). Pei Lin is often cited by papers focused on Lymphoma Diagnosis and Treatment (85 papers), Chronic Lymphocytic Leukemia Research (64 papers) and Acute Myeloid Leukemia Research (53 papers). Pei Lin collaborates with scholars based in United States, China and France. Pei Lin's co-authors include L. Jeffrey Medeiros, C. Cameron Yin, Shaoying Li, Jeffrey L. Jorgensen, Carlos E. Bueso‐Ramos, Jing Yang, Roberto N. Miranda, Lynne V. Abruzzo, Sergej Konoplev and Qing Yi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Pei Lin

212 papers receiving 5.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pei Lin 2.2k 2.0k 1.9k 1.8k 1.7k 224 5.4k
Thierry Lamy 2.6k 1.2× 1.9k 0.9× 2.1k 1.1× 2.3k 1.3× 1.4k 0.8× 177 6.4k
Corrado Tarella 2.8k 1.3× 2.5k 1.3× 1.5k 0.8× 2.8k 1.6× 1.0k 0.6× 213 6.2k
Lisa M. Rimsza 3.5k 1.6× 1.2k 0.6× 1.6k 0.8× 2.6k 1.5× 1.4k 0.8× 199 6.2k
Antonio Cuneo 1.6k 0.7× 1.9k 0.9× 2.2k 1.1× 1.1k 0.6× 1.5k 0.9× 243 5.1k
Sergej Konoplev 964 0.4× 2.2k 1.1× 1.2k 0.6× 1.4k 0.8× 1.4k 0.8× 154 4.6k
Dieter K. Hossfeld 1.2k 0.5× 1.9k 1.0× 1.4k 0.7× 1.8k 1.0× 2.6k 1.5× 165 6.1k
Berthold Streubel 2.8k 1.3× 717 0.4× 1.5k 0.8× 1.9k 1.1× 1.7k 1.0× 149 6.5k
Giovanni Del Poeta 1.5k 0.7× 2.7k 1.4× 2.2k 1.1× 795 0.4× 1.6k 1.0× 189 5.5k
Jan Dürig 1.6k 0.7× 740 0.4× 2.2k 1.1× 1.1k 0.6× 1.3k 0.8× 143 4.5k
Kazimierz Kuliczkowski 794 0.4× 1.2k 0.6× 1.1k 0.6× 1.2k 0.7× 1.1k 0.7× 202 3.5k

Countries citing papers authored by Pei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Pei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Lin. A scholar is included among the top collaborators of Pei Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pei Lin. Pei Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cui, Li, Zizhao Mai, Ye Lu, et al.. (2025). Laboratory investigation of METTL7A driving MSC osteogenic differentiation through YAP1 translation enhancement via eIF4F recruitment. International Endodontic Journal. 58(4). 587–603.
2.
Thakral, Beenu, et al.. (2025). Cytogenetic and molecular aberrations at diagnosis and in prognosis of multiple myeloma. Seminars in Diagnostic Pathology. 42(4). 150915–150915.
3.
Kettlun, Claudia, et al.. (2024). The Spectrum of B-cell and Plasma Cell Proliferations in Nodal T Follicular Helper Cell Lymphomas. The American Journal of Surgical Pathology. 49(3). 251–264.
4.
Thakral, Beenu, Pei Lin, Gökçe Törüner, et al.. (2024). From the archives of MD Anderson Cancer Center: Composite mantle cell lymphoma and lymphoplasmacytic lymphoma involving bone marrow at presentation. Annals of Diagnostic Pathology. 73. 152372–152372. 1 indexed citations
5.
Hennes, Valerie, Guilin Tang, Pei Lin, et al.. (2023). Targeted single-cell proteomic analysis identifies new liquid biopsy biomarkers associated with multiple myeloma. npj Precision Oncology. 7(1). 95–95. 8 indexed citations
6.
Li, Nianyi, Pei Lin, Zhuang Zuo, et al.. (2023). Plasma cell myeloma with RAS/BRAF mutations is frequently associated with a complex karyotype, advanced stage disease, and poorer prognosis. Cancer Medicine. 12(13). 14293–14304. 7 indexed citations
7.
Lin, Pei, Dandan Zhang, & Jun Lin. (2023). Clinical Research Progress of BTK Inhibitors in the Treatment ofAutoimmune Diseases. Current Topics in Medicinal Chemistry. 23(28). 2609–2620.
8.
Qiu, Lianqun, Pei Lin, Mahsa Khanlari, et al.. (2023). The Clinicopathologic Features and Molecular Signatures of Blastoid High-Grade B Cell Lymphoma, Not Otherwise Specified. Modern Pathology. 36(12). 100349–100349. 2 indexed citations
9.
Pasvolsky, Oren, Michelle A.T. Hildebrandt, Christopher J. Ferreri, et al.. (2023). Safety and Efficacy Outcomes for Patients with High-Risk Multiple Myeloma Receiving Idecabtagene Vicleucel: The MD Anderson Experience. Blood. 142(Supplement 1). 4712–4712.
10.
Khoury, Joseph D., Mark J. Routbort, Keyur P. Patel, et al.. (2022). Clinicopathologic spectrum of myeloid neoplasms with concurrent myeloproliferative neoplasm driver mutations and SRSF2 mutations. Modern Pathology. 35(11). 1677–1683. 3 indexed citations
11.
Liu, Huan, Jin He, Rozita Bagheri‐Yarmand, et al.. (2022). Osteocyte CIITA aggravates osteolytic bone lesions in myeloma. Nature Communications. 13(1). 3684–3684. 17 indexed citations
12.
13.
Quesada, Andres, Guillermo Montalban‐Bravo, Rajyalakshmi Luthra, et al.. (2020). Clinico-pathologic characteristics and outcomes of the World Health Organization (WHO) provisional entity de novo acute myeloid leukemia with mutated RUNX1. Modern Pathology. 33(9). 1678–1689. 13 indexed citations
14.
Hampel, Paul J., Timothy G. Call, Wei Ding, et al.. (2020). Incidental Richter transformation in chronic lymphocytic leukemia patients during temporary interruption of ibrutinib. Blood Advances. 4(18). 4508–4511. 13 indexed citations
15.
Lee, Hans C., Krina K. Patel, Sheeba K. Thomas, et al.. (2020). Minimal Residual Disease Negativity Does Not Overcome Poor Prognosis in High-Risk Multiple Myeloma: A Single-Center Retrospective Study. Clinical Lymphoma Myeloma & Leukemia. 20(5). e221–e238. 9 indexed citations
16.
Liu, Zhiqiang, Huan Liu, Jin He, et al.. (2020). Myeloma cells shift osteoblastogenesis to adipogenesis by inhibiting the ubiquitin ligase MURF1 in mesenchymal stem cells. Science Signaling. 13(633). 34 indexed citations
17.
Manasanch, Elisabet E., Rohit Mathur, Hans C. Lee, et al.. (2017). Pilot Study of Pembrolizumab for Immunoprevention in Smoldering Multiple Myeloma. Blood. 130. 3089–3089. 3 indexed citations
18.
He, Jin, Zhiqiang Liu, Yuhuan Zheng, et al.. (2012). p38 MAPK in Myeloma Cells Regulates Osteoclast and Osteoblast Activity and Induces Bone Destruction. Cancer Research. 72(24). 6393–6402. 69 indexed citations
19.
Lin, Pei. (2009). A Novel Scheme Based on Companding Transformation to Reduce PAPR in OFDM Systems. Microelectronics & Computer.
20.
Olsen, Randall J., Dennis P. O’Malley, Sergej Konoplev, et al.. (2007). The role of Janus Kinase 2 V617F mutation in extramedullary hematopoiesis of the spleen in neoplastic myeloid disorders. Modern Pathology. 20(9). 929–935. 24 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Thierry Lamy Breakdown of academic impact, for papers by Corrado Tarella Breakdown of academic impact, for papers by Lisa M. Rimsza Breakdown of academic impact, for papers by Antonio Cuneo Breakdown of academic impact, for papers by Sergej Konoplev Breakdown of academic impact, for papers by Dieter K. Hossfeld Breakdown of academic impact, for papers by Berthold Streubel Breakdown of academic impact, for papers by Giovanni Del Poeta Breakdown of academic impact, for papers by Jan Dürig Breakdown of academic impact, for papers by Kazimierz Kuliczkowski
Rankless by CCL
2026