Yujiang Fang

3.1k total citations
116 papers, 2.4k citations indexed

About

Yujiang Fang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yujiang Fang has authored 116 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 40 papers in Molecular Biology and 33 papers in Oncology. Recurrent topics in Yujiang Fang's work include Immunotherapy and Immune Responses (17 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Cytokine Signaling Pathways and Interactions (12 papers). Yujiang Fang is often cited by papers focused on Immunotherapy and Immune Responses (17 papers), Cancer Immunotherapy and Biomarkers (13 papers) and Cytokine Signaling Pathways and Interactions (12 papers). Yujiang Fang collaborates with scholars based in United States, China and Australia. Yujiang Fang's co-authors include Qian Bai, Ziwen Zhu, Mark R. Wakefield, Michael B. Nicholl, Huaping Xiao, Helen Braley‐Mullen, Vincent G. DeMarco, Shiguang Yu, Meng Tang and Matthew Davis and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yujiang Fang

106 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yujiang Fang United States	24	873	755	726	235	217	116	2.4k
George D. Kalliolias United States	21	1.1k 1.3×	779 1.0×	449 0.6×	236 1.0×	210 1.0×	35	2.5k
Parviz Kokhaei Iran	27	697 0.8×	987 1.3×	592 0.8×	138 0.6×	142 0.7×	120	2.3k
Suk Ran Yoon South Korea	34	1.3k 1.5×	1.2k 1.5×	617 0.8×	354 1.5×	319 1.5×	88	2.9k
Rena Feinman United States	26	1.1k 1.3×	995 1.3×	571 0.8×	361 1.5×	246 1.1×	50	2.6k
Jun Guo China	31	1.2k 1.4×	1.1k 1.5×	449 0.6×	326 1.4×	338 1.6×	118	3.2k
Keunwook Lee South Korea	29	1.0k 1.2×	1.2k 1.5×	396 0.5×	318 1.4×	166 0.8×	84	2.5k
José Alexandre Marzagão Barbuto Brazil	25	1.1k 1.3×	762 1.0×	510 0.7×	112 0.5×	199 0.9×	91	2.3k
Peter Uciechowski Germany	30	930 1.1×	588 0.8×	412 0.6×	168 0.7×	212 1.0×	48	2.5k
Sheng Xia China	27	738 0.8×	992 1.3×	319 0.4×	262 1.1×	350 1.6×	98	2.3k
Federica Laudisi Italy	25	741 0.8×	981 1.3×	399 0.5×	148 0.6×	216 1.0×	67	2.2k

Countries citing papers authored by Yujiang Fang

Since Specialization

Citations

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

Fields of papers citing papers by Yujiang Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujiang Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Yujiang Fang. A scholar is included among the top collaborators of Yujiang Fang 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 Yujiang Fang. Yujiang Fang 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:

20 of 20 papers shown

Wakefield, Mark R., et al.. (2025). Therapeutic frontiers in adrenocortical carcinoma: from standards to innovation. Medical Oncology. 42(8). 311–311.

Wakefield, Mark R., et al.. (2025). Leveraging Microorganisms to Combat Skin Cancer. Microorganisms. 13(2). 462–462. 1 indexed citations

Zhao, Lei, et al.. (2025). Exploring Asthma as a Protective Factor in COVID-19 Outcomes. International Journal of Molecular Sciences. 26(4). 1678–1678.

Zhao, Lei, Yanyan Zhao, Dongmei Su, et al.. (2023). Cognitive Functions in Patients with Moderate-to-Severe Obstructive Sleep Apnea Syndrome with Emphasis on Executive Functions and Decision-Making. Brain Sciences. 13(10). 1436–1436. 2 indexed citations

Bai, Qian, et al.. (2022). Ovarian Cancer Immunotherapy en Route: IL9 Inhibits Growth of Ovarian Cancer and Upregulates its Expression of Ox40L and 4-1BBL. European Journal of Gynaecological Oncology. 43(2). 163–163. 3 indexed citations

Zhu, Ziwen, et al.. (2021). Targeting immunometabolism of neoplasms by interleukins: A promising immunotherapeutic strategy for cancer treatment. Cancer Letters. 518. 94–101. 6 indexed citations

Zhao, Lei, et al.. (2019). IL-29 Exhibits Anti-Tumor Effect on Pan-48 Pancreatic Cancer Cells by Up-regulation of P21 and Bax. Anticancer Research. 39(7). 3493–3498. 9 indexed citations

Tang, Meng, et al.. (2019). The Effectiveness of Topical Cannabidiol Oil in Symptomatic Relief of Peripheral Neuropathy of the Lower Extremities. Current Pharmaceutical Biotechnology. 21(5). 390–402. 131 indexed citations

Zhu, Ziwen, et al.. (2018). Trichomonas Vaginalis Inhibits HeLa Cell Growth Through Modulation of Critical Molecules for Cell Proliferation and Apoptosis. Anticancer Research. 38(9). 5079–5086. 10 indexed citations

10.

Zhao, Lei, Ziwen Zhu, Huaping Xiao, et al.. (2018). IL-39 acts as a friend to pancreatic cancer. Medical Oncology. 36(1). 12–12. 20 indexed citations

11.

Zhu, Ziwen, et al.. (2017). Beyond Conventional Medicine - a Look at Blueberry, a Cancer-Fighting Superfruit. Pathology & Oncology Research. 24(4). 733–738. 26 indexed citations

12.

Liu, Zhongliang, Yi Hui, Lei Shi, et al.. (2016). Efficient CRISPR/Cas9-Mediated Versatile, Predictable, and Donor-Free Gene Knockout in Human Pluripotent Stem Cells. Stem Cell Reports. 7(3). 496–507. 31 indexed citations

13.

Fu, Yanxia, et al.. (2016). Study on Hydraulic Performances of a 3-Bladed Inducer Based on Different Numerical and Experimental Methods. International Journal of Rotating Machinery. 2016. 1–9. 4 indexed citations

14.

Hong, So‐Hee, et al.. (2016). Mechanisms and kinetics of proliferation and fibrosis development in a mouse model of thyrocyte hyperplasia. Cellular Immunology. 304-305. 16–26. 2 indexed citations

15.

Zhu, Ziwen, Andrew Brittingham, Mark R. Wakefield, et al.. (2016). Trichomonas vaginalis: a possible foe to prostate cancer. Medical Oncology. 33(10). 115–115. 32 indexed citations

16.

Zhu, Ziwen, et al.. (2016). The role of IL-37 in cancer. Medical Oncology. 33(7). 68–68. 29 indexed citations

17.

Wang, Qinghai, et al.. (2015). Serum CA 19-9 as a good prognostic biomarker in patients with bladder cancer. International Journal of Surgery. 15. 113–116. 9 indexed citations

18.

Fang, Yujiang, et al.. (2011). Expression of P-450(c11beta) in adrenal aldosterone-producing adenomas and nodular hyperplasia tissues.. PubMed. 57(3-4). 245–51. 1 indexed citations

19.

Fang, Yujiang, Gordon C. Sharp, & Helen Braley‐Mullen. (2008). Interleukin-10 Promotes Resolution of Granulomatous Experimental Autoimmune Thyroiditis. American Journal Of Pathology. 172(6). 1591–1602. 26 indexed citations

20.

Fang, Yujiang, Yongzhong Wei, Vincent G. DeMarco, et al.. (2007). Murine FLIP Transgene Expressed on Thyroid Epithelial Cells Promotes Resolution of Granulomatous Experimental Autoimmune Thyroiditis in DBA/1 Mice. American Journal Of Pathology. 170(3). 875–887. 35 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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