Yan‐jun Gan

1.8k total citations · 1 hit paper
11 papers, 1.4k citations indexed

About

Yan‐jun Gan is a scholar working on Oncology, Epidemiology and Immunology. According to data from OpenAlex, Yan‐jun Gan has authored 11 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 5 papers in Epidemiology and 4 papers in Immunology. Recurrent topics in Yan‐jun Gan's work include Viral-associated cancers and disorders (9 papers), Cytomegalovirus and herpesvirus research (5 papers) and Immune Cell Function and Interaction (4 papers). Yan‐jun Gan is often cited by papers focused on Viral-associated cancers and disorders (9 papers), Cytomegalovirus and herpesvirus research (5 papers) and Immune Cell Function and Interaction (4 papers). Yan‐jun Gan collaborates with scholars based in United States, China and Bangladesh. Yan‐jun Gan's co-authors include John W. Sixbey, Laura C. Bowman, Malcolm K. Brenner, Catherine Y. Ng, Helen E. Heslop, Cliona M. Rooney, Robert A. Krance, Susan K. Loftin, Colton A. Smith and Deo Kumar Srivastava and has published in prestigious journals such as Blood, Cancer and Clinical Infectious Diseases.

In The Last Decade

Yan‐jun Gan

10 papers receiving 1.4k citations

Hit Papers

Infusion of Cytotoxic T Cells for the Prevention and Trea... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan‐jun Gan United States 9 1.1k 571 526 307 237 11 1.4k
Takaharu Matsuyama Japan 17 711 0.7× 426 0.7× 232 0.4× 175 0.6× 83 0.4× 34 1.4k
Pauline Meij Netherlands 21 782 0.7× 381 0.7× 500 1.0× 214 0.7× 195 0.8× 48 1.3k
Ken‐Ichi Imadome Japan 22 859 0.8× 330 0.6× 606 1.2× 409 1.3× 93 0.4× 103 1.4k
Andreas Moosmann Germany 24 1.3k 1.2× 830 1.5× 1.0k 1.9× 302 1.0× 195 0.8× 54 2.1k
Lazaros J. Lekakis United States 22 1.1k 1.1× 168 0.3× 339 0.6× 332 1.1× 223 0.9× 101 1.6k
Heather M. Long United Kingdom 24 1.2k 1.2× 596 1.0× 902 1.7× 553 1.8× 58 0.2× 37 1.8k
Nancy Gudgeon United Kingdom 16 869 0.8× 791 1.4× 1.4k 2.6× 234 0.8× 66 0.3× 23 1.9k
Carlo Tomasini Italy 22 500 0.5× 372 0.7× 150 0.3× 233 0.8× 110 0.5× 86 1.2k
Michael Maschan Russia 17 522 0.5× 360 0.6× 604 1.1× 60 0.2× 217 0.9× 152 1.4k
Peter von Wussow Germany 22 317 0.3× 232 0.4× 647 1.2× 239 0.8× 47 0.2× 44 1.3k

Countries citing papers authored by Yan‐jun Gan

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐jun Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐jun Gan. 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 Yan‐jun Gan. The network helps show where Yan‐jun Gan may publish in the future.

Co-authorship network of co-authors of Yan‐jun Gan

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

All Works

11 of 11 papers shown
3.
Gan, Yan‐jun, Bassem I. Razzouk, Tao Su, & John W. Sixbey. (2002). A Defective, Rearranged Epstein-Barr Virus Genome in EBER-Negative and EBER-Positive Hodgkin's Disease. American Journal Of Pathology. 160(3). 781–786. 61 indexed citations
4.
Venkateswaran, Lakshmi, Yan‐jun Gan, John W. Sixbey, & Victor M. Santana. (2000). Epstein-Barr virus infection in salivary gland tumors in children and young adults. Cancer. 89(2). 463–466. 19 indexed citations
5.
Chodosh, James, et al.. (2000). Patterned Entry and Egress by Epstein–Barr Virus in Polarized CR2-Positive Epithelial Cells. Virology. 266(2). 387–396. 15 indexed citations
6.
Slobod, Karen S., J T Sandlund, Barrett G. Haik, et al.. (2000). Molecular Evidence of Ocular Epstein-Barr Virus Infection. Clinical Infectious Diseases. 31(1). 184–188. 10 indexed citations
7.
Buckingham, Steven C., Ely Benaim, John T. Sandlund, et al.. (1998). Primary central nervous system lymphoma in a child with acute B‐cell lymphoblastic leukaemia: consecutive Epstein‐Barr virus‐related malignancies. British Journal of Haematology. 101(2). 345–348. 3 indexed citations
8.
Chodosh, James, et al.. (1998). Eradication of Latent Epstein‐Barr Virus by Hydroxyurea Alters the Growth‐Transformed Cell Phenotype. The Journal of Infectious Diseases. 177(5). 1194–1201. 76 indexed citations
9.
Rooney, Cliona M., Colton A. Smith, Catherine Y. Ng, et al.. (1998). Infusion of Cytotoxic T Cells for the Prevention and Treatment of Epstein-Barr Virus–Induced Lymphoma in Allogeneic Transplant Recipients. Blood. 92(5). 1549–1555. 285 indexed citations
10.
Rooney, Cliona M., Colton A. Smith, Catherine Y. Ng, et al.. (1998). Infusion of Cytotoxic T Cells for the Prevention and Treatment of Epstein-Barr Virus–Induced Lymphoma in Allogeneic Transplant Recipients. Blood. 92(5). 1549–1555. 859 indexed citations breakdown →
11.
Chodosh, James, Yan‐jun Gan, & John W. Sixbey. (1996). Detection of Epstein—Barn Virus Genome in Ocular Tissues. Ophthalmology. 103(4). 687–690. 44 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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