Jeffrey Tang

1.7k total citations · 1 hit paper
8 papers, 714 citations indexed

About

Jeffrey Tang is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jeffrey Tang has authored 8 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Jeffrey Tang's work include CAR-T cell therapy research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Jeffrey Tang is often cited by papers focused on CAR-T cell therapy research (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Jeffrey Tang collaborates with scholars based in Canada, Netherlands and Germany. Jeffrey Tang's co-authors include Ryan D. Morin, Aixiang Jiang, David W. Scott, George W. Wright, James D. Phelan, Alexander Bagaev, Nikita Kotlov, James Q. Wang, Ryan M. Young and Calvin A. Johnson and has published in prestigious journals such as Blood, Bioinformatics and Cancer Cell.

In The Last Decade

Jeffrey Tang

8 papers receiving 708 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.

A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications

2020 583 citations George W. Wright, Da Wei Huang et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey Tang Canada	5	556	353	233	194	124	8	714
Magdalena Klánová Czechia	12	397 0.7×	346 1.0×	252 1.1×	231 1.2×	72 0.6×	38	721
Annette M. Staiger Germany	14	490 0.9×	409 1.2×	224 1.0×	190 1.0×	74 0.6×	27	714
Marco Fangazio Italy	10	483 0.9×	273 0.8×	346 1.5×	219 1.1×	75 0.6×	20	727
Christian Winther Eskelund Denmark	11	432 0.8×	343 1.0×	274 1.2×	100 0.5×	74 0.6×	29	561
Lucile Baseggio France	15	591 1.1×	249 0.7×	473 2.0×	102 0.5×	37 0.3×	50	766
Gottfried von Keudell United States	13	293 0.5×	243 0.7×	151 0.6×	179 0.9×	37 0.3×	46	560
Sietse Aukema Germany	9	568 1.0×	392 1.1×	324 1.4×	92 0.5×	40 0.3×	15	648
Marie Cornic France	13	301 0.5×	256 0.7×	101 0.4×	133 0.7×	210 1.7×	24	548
Yoshikazu Sasaki Japan	11	272 0.5×	184 0.5×	97 0.4×	94 0.5×	87 0.7×	23	491
Iván Dlouhy Spain	12	437 0.8×	311 0.9×	130 0.6×	99 0.5×	31 0.3×	26	557

Countries citing papers authored by Jeffrey Tang

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Tang

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

All Works

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8 of 8 papers shown

1.

Bahreyni, Amirhossein, Yasir Mohamud, Amritpal Singh, et al.. (2025). Developing a Personalized Cancer Nanovaccine Using Coxsackievirus‐Reprogrammed Cancer Cell Membranes for Enhanced Anti‐Tumor Immunity. Advanced Science. 12(40). e06791–e06791. 1 indexed citations

2.

Cheah, Chan Y., Wojciech Jurczak, Masa Lasica, et al.. (2021). TG-1701 A selective bruton tyrosine kinase (btk) inhibitor, as monotherapy and in combination with ublituximab and umbralisib (u2) in chronic lymphocytic leukemia (cll) and lymphoma. HemaSphere. 286–286. 1 indexed citations

3.

Jiang, Aixiang, Laura K. Hilton, Jeffrey Tang, et al.. (2020). PRPS-ST: A Protocol-Agnostic Self-training Method for Gene Expression–Based Classification of Blood Cancers. Blood Cancer Discovery. 1(3). 244–257. 6 indexed citations

4.

Wright, George W., Da Wei Huang, James D. Phelan, et al.. (2020). A Probabilistic Classification Tool for Genetic Subtypes of Diffuse Large B Cell Lymphoma with Therapeutic Implications. Cancer Cell. 37(4). 551–568.e14. 583 indexed citations breakdown →

5.

Arthur, Sarah E., Nicole Thomas, Christopher Rushton, et al.. (2020). Nfkbiz 3′ UTR Mutations Confer Selective Growth Advantage and Affect Drug Response in Diffuse Large B-Cell Lymphoma. Blood. 136(Supplement 1). 31–31. 1 indexed citations

6.

Hilton, Laura K., Jeffrey Tang, Susana Ben‐Neriah, et al.. (2019). The double-hit signature identifies double-hit diffuse large B-cell lymphoma with genetic events cryptic to FISH. Blood. 134(18). 1528–1532. 76 indexed citations

7.

Malikić, Salem, et al.. (2019). Collaborative intra-tumor heterogeneity detection. Bioinformatics. 35(14). i379–i388. 12 indexed citations

8.

Lee, Jessica, Maja Tarailo‐Graovac, Allison Matthews, et al.. (2018). Integration of genomics and metabolomics for prioritization of rare disease variants: a 2018 literature review. Journal of Inherited Metabolic Disease. 41(3). 435–445. 34 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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