Dan Jones

6.4k total citations · 2 hit papers
76 papers, 4.9k citations indexed

About

Dan Jones is a scholar working on Pathology and Forensic Medicine, Oncology and Immunology. According to data from OpenAlex, Dan Jones has authored 76 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pathology and Forensic Medicine, 31 papers in Oncology and 31 papers in Immunology. Recurrent topics in Dan Jones's work include Lymphoma Diagnosis and Treatment (36 papers), Cutaneous lymphoproliferative disorders research (17 papers) and T-cell and Retrovirus Studies (13 papers). Dan Jones is often cited by papers focused on Lymphoma Diagnosis and Treatment (36 papers), Cutaneous lymphoproliferative disorders research (17 papers) and T-cell and Retrovirus Studies (13 papers). Dan Jones collaborates with scholars based in United States, Taiwan and Denmark. Dan Jones's co-authors include Timothy A. Springer, Qing Ma, L. Jeffrey Medeiros, Paul R. Borghesani, Roderick T. Bronson, Tadamitsu Kishimoto, Rosalind A. Segal, Takashi Nagasawa, David M. Dorfman and Aliakbar Shahsafaei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Dan Jones

75 papers receiving 4.8k citations

Hit Papers

Impaired B-lymphopoiesis, myelopoiesis, and derailed cere... 1998 2026 2007 2016 1998 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Jones United States 35 2.4k 2.3k 1.5k 883 794 76 4.9k
David Y. Mason United Kingdom 40 2.4k 1.0× 1.5k 0.7× 4.0k 2.7× 1.5k 1.7× 1.3k 1.7× 103 6.2k
Karen Pulford United Kingdom 27 1.5k 0.6× 825 0.4× 2.5k 1.7× 1.2k 1.4× 700 0.9× 49 4.2k
Gunilla Enblad Sweden 38 2.3k 1.0× 1.8k 0.8× 3.0k 2.0× 989 1.1× 1.4k 1.8× 200 5.3k
Jasmine Zain United States 31 1.7k 0.7× 1.4k 0.6× 2.2k 1.5× 1.4k 1.6× 507 0.6× 184 4.3k
Andreas Bräuninger Germany 34 1.8k 0.8× 1.2k 0.5× 2.4k 1.6× 1.1k 1.2× 936 1.2× 77 3.9k
Jan Delabie Norway 48 3.2k 1.3× 1.7k 0.8× 4.7k 3.2× 1.4k 1.6× 1.9k 2.4× 201 7.0k
Andres Forero‐Torres United States 39 5.1k 2.1× 1.6k 0.7× 3.5k 2.4× 1.2k 1.4× 1.4k 1.7× 162 7.6k
Valter Gattei Italy 43 1.4k 0.6× 2.1k 0.9× 2.4k 1.6× 1.7k 1.9× 2.5k 3.2× 222 5.7k
Dana A. Kennedy United States 24 2.8k 1.2× 887 0.4× 3.0k 2.0× 437 0.5× 761 1.0× 50 4.5k
Rita M. Braziel United States 37 1.6k 0.7× 668 0.3× 2.7k 1.8× 547 0.6× 1.4k 1.8× 99 4.3k

Countries citing papers authored by Dan Jones

Since Specialization
Citations

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

Fields of papers citing papers by Dan Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Jones. A scholar is included among the top collaborators of Dan Jones 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 Dan Jones. Dan Jones 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
3.
Pan, Qiulu, Xi Zhang, L. Raposo Rodríguez, et al.. (2013). Detection of BRAF V600 Mutations in Metastatic Melanoma. Journal of Molecular Diagnostics. 15(6). 790–795. 47 indexed citations
4.
Dai, Zunyan, JoAnn C. Kelly, Aurelia Meloni‐Ehrig, et al.. (2012). Incidence and patterns of ALK FISH abnormalities seen in a large unselected series of lung carcinomas. Molecular Cytogenetics. 5(1). 44–44. 26 indexed citations
5.
Sepulveda, Antonia R., Dan Jones, Shuji Ogino, et al.. (2009). CpG Methylation Analysis—Current Status of Clinical Assays and Potential Applications in Molecular Diagnostics. Journal of Molecular Diagnostics. 11(4). 266–278. 39 indexed citations
6.
Jones, Dan. (2009). Neoplastic hematopathology : experimental and clinical approaches. DIAL (Catholic University of Leuven). 1 indexed citations
7.
Jones, Dan, et al.. (2009). Molecular Markers of Tumor Progression in Melanoma. Current Genomics. 10(4). 231–239. 25 indexed citations
8.
Cotta, Claudiu, Vasiliki Leventaki, Vassilios Atsaves, et al.. (2007). The helix‐loop‐helix protein Id2 is expressed differentially and induced by myc in T‐cell lymphomas. Cancer. 112(3). 552–561. 18 indexed citations
9.
Yin, C. Cameron, Jörge E. Cortes, Bedia A. Barkoh, et al.. (2006). t(3;21)(q26;q22) in myeloid leukemia. Cancer. 106(8). 1730–1738. 45 indexed citations
10.
Hoyer, Katrina K., Marco Herling, Ksenia Bagrintseva, et al.. (2005). T Cell Leukemia-1 Modulates TCR Signal Strength and IFN-γ Levels through Phosphatidylinositol 3-Kinase and Protein Kinase C Pathway Activation. The Journal of Immunology. 175(2). 864–873. 26 indexed citations
11.
Chang, Kong‐Chao, et al.. (2004). Distribution and Prognosis of WHO Lymphoma Subtypes in Taiwan Reveals a Low Incidence of Germinal-Center Derived Tumors. Leukemia & lymphoma. 45(7). 1375–1384. 41 indexed citations
12.
Khoury, Joseph D., Dan Jones, Marwan Yared, et al.. (2004). Bone Marrow Involvement in Patients With Nodular Lymphocyte Predominant Hodgkin Lymphoma. The American Journal of Surgical Pathology. 28(4). 489–495. 23 indexed citations
13.
Herling, Marco, George Z. Rassidakis, Dan Jones, et al.. (2004). Absence of Epstein-Barr virus in anaplastic large cell lymphoma: a study of 64 cases classified according to World Health Organization criteria. Human Pathology. 35(4). 455–459. 52 indexed citations
14.
Lee, Hoon K., Richard B. Wilder, Dan Jones, et al.. (2002). Outcomes Using Doxorubicin-Based Chemotherapy with or without Radiotherapy for Early-Stage Peripheral T-cell Lymphomas. Leukemia & lymphoma. 43(9). 1769–1775. 12 indexed citations
15.
Fedyk, Eric R., Dan Jones, Hilary Critchley, et al.. (2001). Expression of Stromal-Derived Factor-1 Is Decreased by IL-1 and TNF and in Dermal Wound Healing. The Journal of Immunology. 166(9). 5749–5754. 117 indexed citations
16.
Jones, Dan, et al.. (2001). Absence of CD26 Expression Is a Useful Marker for Diagnosis of T-Cell Lymphoma in Peripheral Blood. American Journal of Clinical Pathology. 115(6). 885–892. 149 indexed citations
17.
Jones, Dan & David M. Dorfman. (2001). Phenotypic Characterization of Subsets of T Cell Lymphoma: Towards a Functional Classification of T Cell Lymphoma. Leukemia & lymphoma. 40(5-6). 449–459. 18 indexed citations
18.
Vega, Francisco, L. Jeffrey Medeiros, Carlos E. Bueso‐Ramos, et al.. (2001). Hepatosplenic gamma/delta T-Cell Lymphoma in Bone Marrow. American Journal of Clinical Pathology. 116(3). 410–419. 76 indexed citations
19.
Ma, Qing, Dan Jones, & Timothy A. Springer. (1999). The Chemokine Receptor CXCR4 Is Required for the Retention of B Lineage and Granulocytic Precursors within the Bone Marrow Microenvironment. Immunity. 10(4). 463–471. 542 indexed citations breakdown →
20.
Jones, Dan, et al.. (1998). Characteristic Proliferations of Reticular and Dendritic Cells in Angioimmunoblastic Lymphoma. The American Journal of Surgical Pathology. 22(8). 956–964. 53 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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