Charles Gullo

1.3k total citations
29 papers, 1.0k citations indexed

About

Charles Gullo is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Charles Gullo has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 6 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Charles Gullo's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers) and Multiple Myeloma Research and Treatments (5 papers). Charles Gullo is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (9 papers) and Multiple Myeloma Research and Treatments (5 papers). Charles Gullo collaborates with scholars based in Singapore, United States and Israel. Charles Gullo's co-authors include Gerrard Teoh, Cox Terhorst, Duncan Howie, Ninghai Wang, Abhay R. Satoskar, Arlene H. Sharpe, Feng Ge, Melvin Au, Mark T. Esser and V L Braciale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Charles Gullo

26 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Gullo Singapore 14 639 253 182 140 113 29 1.0k
Vernon M. Coffield United States 10 249 0.4× 794 3.1× 105 0.6× 223 1.6× 61 0.5× 13 1.0k
Jeffrey Thomas United States 10 437 0.7× 364 1.4× 39 0.2× 88 0.6× 50 0.4× 22 1.1k
Anna Pessino Italy 12 2.3k 3.6× 232 0.9× 547 3.0× 217 1.6× 165 1.5× 18 2.5k
Arivazhagan Sambandam United States 13 1.3k 2.0× 603 2.4× 357 2.0× 368 2.6× 60 0.5× 13 1.8k
Randall Armstrong United States 18 560 0.9× 349 1.4× 445 2.4× 190 1.4× 204 1.8× 37 1.4k
Paola Rivera Italy 9 2.1k 3.2× 210 0.8× 768 4.2× 288 2.1× 130 1.2× 18 2.3k
Kevin Thia Australia 17 1.4k 2.2× 465 1.8× 625 3.4× 282 2.0× 144 1.3× 26 1.9k
Cecele J. Denman United States 14 1.3k 2.0× 262 1.0× 841 4.6× 323 2.3× 105 0.9× 19 1.6k
Hans‐Gustaf Ljunggren Sweden 9 856 1.3× 171 0.7× 292 1.6× 59 0.4× 73 0.6× 10 955
Frida Lantner Israel 17 527 0.8× 267 1.1× 106 0.6× 37 0.3× 35 0.3× 25 936

Countries citing papers authored by Charles Gullo

Since Specialization
Citations

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

Fields of papers citing papers by Charles Gullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Gullo

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Gullo. A scholar is included among the top collaborators of Charles Gullo 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 Charles Gullo. Charles Gullo 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.
2.
Gullo, Charles, Tam Ha, & Sandy Cook. (2015). Twelve tips for facilitating team-based learning. Medical Teacher. 37(9). 819–824. 53 indexed citations
3.
Gullo, Charles, et al.. (2015). A Disease-Based Approach to the Vertical and Horizontal Integration of a Medical Curriculum. Medical Science Educator. 26(1). 93–103. 5 indexed citations
4.
Gullo, Charles, et al.. (2010). Inhibition of Proliferation and Induction of Apoptosis in Multiple Myeloma Cell Lines by CD137 Ligand Signaling. PLoS ONE. 5(5). e10845–e10845. 21 indexed citations
5.
Liew, Pei Xiong, et al.. (2009). A Cross-Sectional Study on Reference Ranges of Normal Oral Temperatures Among Students in Singapore. Annals of the Academy of Medicine Singapore. 38(7). 613–620.
6.
Gullo, Charles, et al.. (2008). Ku86 exists as both a full-length and a protease-sensitive natural variant in multiple myeloma cells. Cancer Cell International. 8(1). 4–4. 9 indexed citations
7.
8.
Gullo, Charles, Wong‐Kein Low, & Gerrard Teoh. (2008). Association of Epstein-Barr Virus with Nasopharyngeal Carcinoma and Current Status of Development of Cancer-derived Cell Lines. Annals of the Academy of Medicine Singapore. 37(9). 769–777. 35 indexed citations
9.
Teoh, Gerrard, et al.. (2007). Increased sensitization of Multiple Myeloma cells to bortezomib (PS341) via pretreatment with cytokines: a genomic analysis.. Cancer Research. 67. 3217–3217. 1 indexed citations
10.
Gullo, Charles, Melvin Au, Feng Ge, & Gerrard Teoh. (2006). The biology of Ku and its potential oncogenic role in cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1765(2). 223–234. 97 indexed citations
11.
Hwang, William Ying Khee, Charles Gullo, Jia Shen, et al.. (2006). Decoupling of normal CD40/interleukin-4 immunoglobulin heavy chain switch signal leads to genomic instability in SGH-MM5 and RPMI 8226 multiple myeloma cell lines. Leukemia. 20(4). 715–723. 6 indexed citations
12.
Morra, Massimo, Robert A. Barrington, Ana Clara Abadía‐Molina, et al.. (2005). Defective B cell responses in the absence of SH2D1A. Proceedings of the National Academy of Sciences. 102(13). 4819–4823. 65 indexed citations
13.
Wang, Ninghai, Abhay R. Satoskar, William A. Faubion, et al.. (2004). The Cell Surface Receptor SLAM Controls T Cell and Macrophage Functions. The Journal of Experimental Medicine. 199(9). 1255–1264. 153 indexed citations
14.
Gullo, Charles & Gerrard Teoh. (2004). Heat shock proteins: to present or not, that is the question. Immunology Letters. 94(1-2). 1–10. 54 indexed citations
15.
Okamoto, Susumu, Hongbin Ji, Duncan Howie, et al.. (2004). Expression of the SH2D1A gene is regulated by a combination of transcriptional and post‐transcriptional mechanisms. European Journal of Immunology. 34(11). 3176–3186. 14 indexed citations
16.
Teoh, Gerrard, William Ying Khee Hwang, Liang Piu Koh, et al.. (2004). Low Dose Dexamethasone and Thalidomide with Higher Frequency Zoledronic Acid (dtZ) for Multiple Myeloma.. Blood. 104(11). 4915–4915. 1 indexed citations
17.
Wang, Ninghai, Massimo Morra, Chengbin Wu, et al.. (2001). CD150 is a member of a family of genes that encode glycoproteins on the surface of hematopoietic cells. Immunogenetics. 53(5). 382–394. 54 indexed citations
18.
Wu, Chengbin, Khuong B. Nguyen, Gary C. Pien, et al.. (2001). SAP controls T cell responses to virus and terminal differentiation of TH2 cells. Nature Immunology. 2(5). 410–414. 212 indexed citations
19.
Gullo, Charles, Mark T. Esser, Claudette L. Fuller, & V L Braciale. (1999). Generation of IL-2-Dependent Cytolytic T Lymphocytes (CTLs) with Altered TCR Responses Derived from Antigen-Dependent CTL Clones. The Journal of Immunology. 162(11). 6466–6472. 1 indexed citations
20.
Esser, Mark T., et al.. (1997). IL-2 induces Fas ligand/Fas (CD95L/CD95) cytotoxicity in CD8+ and CD4+ T lymphocyte clones. The Journal of Immunology. 158(12). 5612–5618. 51 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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