Fang Tan

605 total citations
9 papers, 499 citations indexed

About

Fang Tan is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Fang Tan has authored 9 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Pharmacology. Recurrent topics in Fang Tan's work include Immune Cell Function and Interaction (2 papers), Stress Responses and Cortisol (1 paper) and RNA modifications and cancer (1 paper). Fang Tan is often cited by papers focused on Immune Cell Function and Interaction (2 papers), Stress Responses and Cortisol (1 paper) and RNA modifications and cancer (1 paper). Fang Tan collaborates with scholars based in China, France and United States. Fang Tan's co-authors include Yves Delneste, Dorothée Duluc, Pascale Jeannin, Laurence Preisser, Norbert Ifrah, Philippe Descamps, Linda Grimaud, Marie‐Pierre Moles, Mohamed Hebbar and Ignacio Anegón and has published in prestigious journals such as Blood, Brain Research and European Journal of Immunology.

In The Last Decade

Fang Tan

9 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fang Tan China	7	304	148	137	46	46	9	499
Amanda A. Hill United States	9	220 0.7×	226 1.5×	83 0.6×	46 1.0×	49 1.1×	17	638
Ivana Cvetković Serbia	13	305 1.0×	100 0.7×	68 0.5×	36 0.8×	30 0.7×	22	541
Sunny Malhotra Spain	12	211 0.7×	257 1.7×	71 0.5×	43 0.9×	41 0.9×	26	484
Babak Dehghani United States	6	173 0.6×	105 0.7×	131 1.0×	28 0.6×	18 0.4×	8	490
Manuela Pillinger Austria	6	123 0.4×	218 1.5×	149 1.1×	21 0.5×	48 1.0×	6	434
Noriko Fukumoto Japan	4	280 0.9×	101 0.7×	185 1.4×	39 0.8×	18 0.4×	6	466
Laxminarasimha Donthireddy United States	7	351 1.2×	157 1.1×	220 1.6×	37 0.8×	98 2.1×	11	562
Feng Hu China	9	187 0.6×	158 1.1×	53 0.4×	55 1.2×	53 1.2×	20	432
David Kinsley United States	8	302 1.0×	100 0.7×	204 1.5×	116 2.5×	19 0.4×	10	546
Joseph Flores‐Toro United States	8	252 0.8×	167 1.1×	142 1.0×	122 2.7×	46 1.0×	9	527

Countries citing papers authored by Fang Tan

Since Specialization

Citations

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

Fields of papers citing papers by Fang Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Tan

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Pan, Yuqin, et al.. (2025). Bifidobacterium breve BB05 alleviates depressive symptoms in mice via the AKT/mTOR pathway. Frontiers in Nutrition. 12. 1529566–1529566. 3 indexed citations

2.

Wang, Junyi, Fang Tan, Tianlun Wang, et al.. (2025). Selenium‐Albumin Nanoaccelerator Hydrogel Promotes Wound Healing by Antibacterial, Anti‐Inflammatory and Antioxidant along with Inhibits Scar Formation via Downregulating CD36. Advanced Healthcare Materials. 14(13). e2500699–e2500699. 1 indexed citations

3.

Han, Lina, Jiali Liu, Leilei Zhu, et al.. (2018). Free fatty acid can induce cardiac dysfunction and alter insulin signaling pathways in the heart. Lipids in Health and Disease. 17(1). 185–185. 35 indexed citations

4.

Shi, Xinli, Jingli Liu, Laifeng Ren, et al.. (2014). Nutlin-3 downregulates p53 phosphorylation on serine³⁹²and induces apoptosis in hepatocellular carcinoma cells. BMB Reports. 47(4). 221–226. 12 indexed citations

5.

Tan, Fang, et al.. (2014). Protective effect of treatment with low-dose gliclazide in a model of middle cerebral artery occlusion and reperfusion in rats. Brain Research. 1560. 83–90. 10 indexed citations

6.

Na, Ning, et al.. (2013). Claulansine F suppresses apoptosis induced by sodium nitroprusside in PC12 cells. Free Radical Research. 47(6-7). 488–497. 12 indexed citations

7.

Duluc, Dorothée, Fang Tan, Simon Blanchard, et al.. (2009). PolyI:C plus IL‐2 or IL‐12 induce IFN‐γ production by human NK cells via autocrine IFN‐β. European Journal of Immunology. 39(10). 2877–2884. 30 indexed citations

8.

Duluc, Dorothée, Yves Delneste, Fang Tan, et al.. (2007). Tumor-associated leukemia inhibitory factor and IL-6 skew monocyte differentiation into tumor-associated macrophage-like cells. Blood. 110(13). 4319–4330. 384 indexed citations

9.

Angelotti, Timothy, et al.. (1992). Molecular and electrophysiological characterization of a allelic variant of the rat α6 GABAA receptor subunit. Molecular Brain Research. 16(1-2). 173–178. 12 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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