Guifang Cai

4.8k total citations · 1 hit paper
16 papers, 3.5k citations indexed

About

Guifang Cai is a scholar working on Immunology, Molecular Biology and Parasitology. According to data from OpenAlex, Guifang Cai has authored 16 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Parasitology. Recurrent topics in Guifang Cai's work include Immune Cell Function and Interaction (8 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (5 papers). Guifang Cai is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (5 papers). Guifang Cai collaborates with scholars based in United States, United Kingdom and France. Guifang Cai's co-authors include Mara Roxana Rubinstein, Yujun Hao, Yiping W. Han, Wendy Liu, Xiaowei Wang, Gordon J. Freeman, Christopher A. Hunter, Baogong Zhu, Robert A. Kastelein and Ganjana Lertmemongkolchai and has published in prestigious journals such as Nature Immunology, The Journal of Immunology and Infection and Immunity.

In The Last Decade

Guifang Cai

16 papers receiving 3.5k citations

Hit Papers

Fusobacterium nucleatum P... 2013 2026 2017 2021 2013 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guifang Cai United States 14 1.6k 1.2k 876 596 402 16 3.5k
François Erard France 34 885 0.6× 2.9k 2.4× 404 0.5× 735 1.2× 590 1.5× 68 4.6k
Colin J. Sanderson Australia 37 1.1k 0.7× 3.1k 2.5× 511 0.6× 430 0.7× 233 0.6× 112 6.5k
Delphine J. Lee United States 28 1.3k 0.8× 1.7k 1.4× 655 0.7× 617 1.0× 662 1.6× 74 3.5k
Rob Kastelein United States 24 1.3k 0.8× 4.0k 3.3× 1.3k 1.4× 1.0k 1.7× 427 1.1× 38 6.4k
Goro Matsuzaki Japan 35 648 0.4× 3.4k 2.8× 477 0.5× 894 1.5× 794 2.0× 147 4.8k
Mizuho Hasegawa United States 27 1.5k 0.9× 1.6k 1.3× 184 0.2× 445 0.7× 479 1.2× 43 3.5k
Esther von Stebut Germany 35 734 0.5× 2.5k 2.0× 359 0.4× 1.1k 1.8× 356 0.9× 124 4.8k
Marisa Gariglio Italy 40 1.7k 1.1× 2.2k 1.8× 1000 1.1× 1.7k 2.8× 315 0.8× 142 4.5k
Romina S. Goldszmid United States 22 1.0k 0.6× 2.0k 1.6× 837 1.0× 720 1.2× 298 0.7× 36 3.6k
R. Pat Bucy United States 36 662 0.4× 2.4k 1.9× 540 0.6× 563 0.9× 652 1.6× 93 4.1k

Countries citing papers authored by Guifang Cai

Since Specialization
Citations

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

Fields of papers citing papers by Guifang Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guifang Cai

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

All Works

16 of 16 papers shown
1.
Rubinstein, Mara Roxana, Xiaowei Wang, Wendy Liu, et al.. (2013). Fusobacterium nucleatum Promotes Colorectal Carcinogenesis by Modulating E-Cadherin/β-Catenin Signaling via its FadA Adhesin. Cell Host & Microbe. 14(2). 195–206. 1742 indexed citations breakdown →
2.
Cai, Guifang, et al.. (2013). Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction. Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). 1 indexed citations
3.
Cai, Guifang & Gordon J. Freeman. (2009). The CD160, BTLA, LIGHT/HVEM pathway: a bidirectional switch regulating T‐cell activation. Immunological Reviews. 229(1). 244–258. 232 indexed citations
4.
Cai, Guifang, Anukanth Anumanthan, Julia A. Brown, et al.. (2008). CD160 inhibits activation of human CD4+ T cells through interaction with herpesvirus entry mediator. Nature Immunology. 9(2). 176–185. 267 indexed citations
5.
Zhu, Baogong, et al.. (2007). In-Fusion™ Assembly: Seamless Engineering of Multidomain Fusion Proteins, Modular Vectors, and Mutations. BioTechniques. 43(3). 354–359. 211 indexed citations
6.
Cai, Guifang & David A. Hafler. (2007). Multispecific responses by T cells expanded by endogenous self‐peptide/MHC complexes. European Journal of Immunology. 37(3). 602–612. 16 indexed citations
7.
Karni, Arnon, Michal Abraham, Alon Monsonego, et al.. (2006). Innate Immunity in Multiple Sclerosis: Myeloid Dendritic Cells in Secondary Progressive Multiple Sclerosis Are Activated and Drive a Proinflammatory Immune Response. The Journal of Immunology. 177(6). 4196–4202. 136 indexed citations
8.
Cai, Guifang, Arnon Karni, Enedina Maria Lobato de Oliveira, et al.. (2004). PD-1 ligands, negative regulators for activation of naïve, memory, and recently activated human CD4+ T cells. Cellular Immunology. 230(2). 89–98. 62 indexed citations
9.
Lertmemongkolchai, Ganjana, Guifang Cai, Christopher A. Hunter, & Gregory J. Bancroft. (2001). Bystander Activation of CD8+ T Cells Contributes to the Rapid Production of IFN-γ in Response to Bacterial Pathogens. The Journal of Immunology. 166(2). 1097–1105. 243 indexed citations
10.
Cai, Guifang, et al.. (2000). Identification of STAT4-Dependent and Independent Mechanisms of Resistance to Toxoplasma gondii. The Journal of Immunology. 165(5). 2619–2627. 74 indexed citations
11.
Caamaño, Jorge, Cristina M. Tato, Guifang Cai, et al.. (2000). Identification of a Role for NF-κB2 in the Regulation of Apoptosis and in Maintenance of T Cell-Mediated Immunity to Toxoplasma gondii. The Journal of Immunology. 165(10). 5720–5728. 72 indexed citations
12.
Cai, Guifang, Robert Kastelein, & Christopher A. Hunter. (2000). Interleukin-18 (IL-18) Enhances Innate IL-12-Mediated Resistance toToxoplasma gondii. Infection and Immunity. 68(12). 6932–6938. 98 indexed citations
13.
Reichmann, Gaby, William Walker, Eric N. Villegas, et al.. (2000). The CD40/CD40 Ligand Interaction Is Required for Resistance to Toxoplasmic Encephalitis. Infection and Immunity. 68(3). 1312–1318. 98 indexed citations
14.
Cai, Guifang, Robert A. Kastelein, & Christopher A. Hunter. (1999). IL-10 enhances NK cell proliferation, cytotoxicity and production of IFN-γ when combined with IL-18. European Journal of Immunology. 29(9). 2658–2665. 154 indexed citations
15.
Cai, Guifang, Robert A. Kastelein, & Christopher A. Hunter. (1999). IL-10 enhances NK cell proliferation, cytotoxicity and production of IFN-γ when combined with IL-18. European Journal of Immunology. 29(9). 2658–2665. 4 indexed citations
16.
Hunter, Christopher A., Jackie C. Timans, Paul I. Pisacane, et al.. (1997). Comparison of the effects of interleukin‐1α, interleukin‐lβ and interferon‐γ‐inducing factor on the production of interferon‐γ by natural killer. European Journal of Immunology. 27(11). 2787–2792. 114 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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