L. Jeffrey Medeiros

69.6k total citations · 3 hit papers
1.3k papers, 40.1k citations indexed

About

L. Jeffrey Medeiros is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, L. Jeffrey Medeiros has authored 1.3k papers receiving a total of 40.1k indexed citations (citations by other indexed papers that have themselves been cited), including 693 papers in Pathology and Forensic Medicine, 424 papers in Oncology and 423 papers in Genetics. Recurrent topics in L. Jeffrey Medeiros's work include Lymphoma Diagnosis and Treatment (647 papers), Chronic Lymphocytic Leukemia Research (316 papers) and Acute Myeloid Leukemia Research (280 papers). L. Jeffrey Medeiros is often cited by papers focused on Lymphoma Diagnosis and Treatment (647 papers), Chronic Lymphocytic Leukemia Research (316 papers) and Acute Myeloid Leukemia Research (280 papers). L. Jeffrey Medeiros collaborates with scholars based in United States, China and Taiwan. L. Jeffrey Medeiros's co-authors include Lawrence M. Weiss, Elaine S. Jaffe, Roberto N. Miranda, Ken H. Young, Rajyalakshmi Luthra, Pei Lin, Carlos E. Bueso‐Ramos, Francisco Vega, George Z. Rassidakis and Joseph D. Khoury and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Nature Communications.

In The Last Decade

L. Jeffrey Medeiros

1.2k papers receiving 39.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Heidelberg classification of renal cell tumours

1997 1.0k citations Gyula Kovács, Mohammed Akhtar et al. The Journal of Pathology profile →
Pathologic Features of Prognostic Significance in Adrenocortical Carcinoma

1989 598 citations L. Jeffrey Medeiros et al. profile →
Diffuse large B-cell lymphoma

2017 407 citations Ken H. Young, L. Jeffrey Medeiros et al. Pathology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
L. Jeffrey Medeiros United States	91	18.8k	14.3k	10.3k	9.2k	7.7k	1.3k	40.1k
Brunangelo Falini Italy	86	15.5k 0.8×	10.7k 0.8×	7.6k 0.7×	9.3k 1.0×	7.3k 0.9×	390	32.9k
Thomas E. Witzig United States	101	14.1k 0.7×	13.5k 0.9×	8.6k 0.8×	11.2k 1.2×	9.6k 1.2×	778	34.1k
Elaine S. Jaffe United States	122	37.8k 2.0×	28.2k 2.0×	15.0k 1.5×	8.6k 0.9×	5.8k 0.8×	720	63.1k
Stefano Pileri Italy	83	20.1k 1.1×	12.9k 0.9×	7.1k 0.7×	4.7k 0.5×	2.9k 0.4×	537	30.6k
Gilles Salles France	84	23.0k 1.2×	17.1k 1.2×	10.2k 1.0×	5.1k 0.6×	2.8k 0.4×	763	34.7k
Bertrand Coiffier France	87	24.8k 1.3×	16.6k 1.2×	9.6k 0.9×	3.7k 0.4×	3.1k 0.4×	486	33.6k
Richard I. Fisher United States	73	18.9k 1.0×	16.2k 1.1×	6.2k 0.6×	4.0k 0.4×	1.9k 0.3×	333	31.5k
Mark Raffeld United States	90	11.0k 0.6×	14.1k 1.0×	5.5k 0.5×	6.6k 0.7×	1.6k 0.2×	428	27.4k
Bruce D. Cheson United States	69	17.1k 0.9×	10.6k 0.7×	11.0k 1.1×	5.0k 0.5×	6.4k 0.8×	362	29.9k
Wolfgang Hiddemann Germany	79	9.8k 0.5×	9.3k 0.7×	6.9k 0.7×	8.1k 0.9×	11.0k 1.4×	644	27.2k

Countries citing papers authored by L. Jeffrey Medeiros

Since Specialization

Citations

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

Fields of papers citing papers by L. Jeffrey Medeiros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Jeffrey Medeiros. 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 L. Jeffrey Medeiros. The network helps show where L. Jeffrey Medeiros may publish in the future.

Co-authorship network of co-authors of L. Jeffrey Medeiros

This figure shows the co-authorship network connecting the top 25 collaborators of L. Jeffrey Medeiros. A scholar is included among the top collaborators of L. Jeffrey Medeiros 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 L. Jeffrey Medeiros. L. Jeffrey Medeiros is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Sa A., Hong Fang, Qing Wei, et al.. (2025). Immunophenotypic, cytogenetic, and mutational features of chronic lymphocytic leukemia/small lymphocytic lymphoma with atypical immunophenotype. Cytometry Part B Clinical Cytometry.

Wei, Qing, Sa A. Wang, Sanam Loghavi, et al.. (2024). Diagnostic utility of immunohistochemistry in detection of NPM1 mutations in acute myeloid leukemia with a patchy distribution. SHILAP Revista de lepidopterología. 5(2). 379–382. 2 indexed citations

Hu, Shimin, Elias Jabbour, Guilin Tang, et al.. (2024). Recurrent lymphoid and myeloid relapses due to treatment cessations reveal natural history of Ph‐positive B‐ALL and pose a diagnostic challenge. American Journal of Hematology. 99(4). 721–726.

Yang, Richard K., Héctor Álvarez, Sinchita Roy‐Chowdhuri, et al.. (2024). Microsatellite instability and high tumor mutational burden detected by next generation sequencing are concordant with loss of mismatch repair proteins by immunohistochemistry. Cancer Genetics. 290-291. 44–50. 1 indexed citations

Wei, Qing, Shimin Hu, Jie Xu, et al.. (2024). Detection of KMT2A Partial Tandem Duplication by Optical Genome Mapping in Myeloid Neoplasms: Associated Cytogenetics, Gene Mutations, Treatment Responses, and Patient Outcomes. Cancers. 16(24). 4193–4193. 8 indexed citations

Chiang, Po‐Min, Liang‐Yi Hung, L. Jeffrey Medeiros, et al.. (2022). Overexpression of interleukin-20 correlates with favourable prognosis in diffuse large B-cell lymphoma. Pathology. 55(1). 94–103. 3 indexed citations

Wang, Lulu, Wei Wang, Hannah C. Beird, et al.. (2022). PPP1R7 Is a Novel Translocation Partner of CBFB via t(2;16)(q37;q22) in Acute Myeloid Leukemia. Genes. 13(8). 1367–1367.

Sakhdari, Ali, Huan Mo, Do H. Kim, et al.. (2021). EZH2 expression is associated with inferior overall survival in mantle cell lymphoma. Modern Pathology. 34(12). 2183–2191. 8 indexed citations

Sukswai, Narittee, Kirill A. Lyapichev, L. Jeffrey Medeiros, & Joseph D. Khoury. (2019). Unusual case of human herpesvirus 8‐positive large B‐cell lymphoma associated with Castleman disease. SHILAP Revista de lepidopterología. 7(3). 587–588. 2 indexed citations

10.

Chahoud, Jad, Dawen Sui, William D. Erwin, et al.. (2018). Updated Results of Rituximab Pre- and Post-BEAM with or without 90Yttrium Ibritumomab Tiuxetan during Autologous Transplant for Diffuse Large B-cell Lymphoma. Clinical Cancer Research. 24(10). 2304–2311. 8 indexed citations

11.

Pham, Lan V., Shengjian Huang, Hui Zhang, et al.. (2018). Strategic Therapeutic Targeting to Overcome Venetoclax Resistance in Aggressive B-cell Lymphomas. Clinical Cancer Research. 24(16). 3967–3980. 63 indexed citations

12.

Sun, Yi, Guilin Tang, Zhihong Hu, et al.. (2017). Comparison of karyotyping, TCL1 fluorescence in situ hybridisation and TCL1 immunohistochemistry in T cell prolymphocytic leukaemia. Journal of Clinical Pathology. 71(4). 309–315. 10 indexed citations

13.

Khoury, Joseph D., Wei‐Lien Wang, Víctor G. Prieto, et al.. (2017). Validation of Immunohistochemical Assays for Integral Biomarkers in the NCI-MATCH EAY131 Clinical Trial. Clinical Cancer Research. 24(3). 521–531. 44 indexed citations

14.

Wang, Wei, Jörge E. Cortes, Guilin Tang, et al.. (2016). Risk stratification of chromosomal abnormalities in chronic myelogenous leukemia in the era of tyrosine kinase inhibitor therapy. Blood. 127(22). 2742–2750. 111 indexed citations

15.

Goswami, Rashmi S., Keyur P. Patel, Rajesh R. Singh, et al.. (2015). Hotspot Mutation Panel Testing Reveals Clonal Evolution in a Study of 265 Paired Primary and Metastatic Tumors. Clinical Cancer Research. 21(11). 2644–2651. 59 indexed citations

16.

Greaves, Wesley O., Lianchun Xiao, Beatriz Sánchez‐Espiridión, et al.. (2012). Detection of ABCC1 expression in classical Hodgkin lymphoma is associated with increased risk of treatment failure using standard chemotherapy protocols. Journal of Hematology & Oncology. 5(1). 47–47. 25 indexed citations

17.

Miranda, Roberto N., Lin Lin, Sameer S. Talwalkar, John T. Manning, & L. Jeffrey Medeiros. (2009). Anaplastic Large Cell Lymphoma Involving the Breast: A Clinicopathologic Study of 6 Cases and Review of the Literature. Archives of Pathology & Laboratory Medicine. 133(9). 1383–1390. 67 indexed citations

18.

Bagheri‐Yarmand, Rozita, Seetharaman Balasenthil, Anupama E. Gururaj, et al.. (2007). Metastasis-Associated Protein 1 Transgenic Mice: A New Model of Spontaneous B-Cell Lymphomas. Cancer Research. 67(15). 7062–7067. 12 indexed citations

19.

Kovács, Gyula, Mohammed Akhtar, Bruce Beckwith, et al.. (1997). The Heidelberg classification of renal cell tumours. The Journal of Pathology. 183(2). 131–133. 1041 indexed citations breakdown →

20.

Medeiros, L. Jeffrey, et al.. (1988). Immunohistologic diagnosis of orbital lymphoid infiltrates an update. Laboratory Investigation. 58(1). 62. 1 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.

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