Feng Yin

743 total citations
29 papers, 576 citations indexed

About

Feng Yin is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Feng Yin has authored 29 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Feng Yin's work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Feng Yin is often cited by papers focused on HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Feng Yin collaborates with scholars based in United States, China and France. Feng Yin's co-authors include Lyn B. Jakeman, Howard Sprecher, Qi Chen, Robin White, Ellen M. Andrews, Mariano S. Viapiano, Duane D. Miller, James T. Dalton, Zhongzhi Wu and Muralimohan Yepuru and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Experimental Neurology.

In The Last Decade

Feng Yin

28 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Yin United States 11 181 119 101 87 86 29 576
Frankis G. Almaguel United States 9 148 0.8× 46 0.4× 45 0.4× 39 0.4× 51 0.6× 13 387
Hajime Abe Japan 15 264 1.5× 62 0.5× 27 0.3× 31 0.4× 51 0.6× 50 707
Jessica Wei United States 13 461 2.5× 88 0.7× 60 0.6× 12 0.1× 48 0.6× 16 872
Zhiyu Yang Australia 17 286 1.6× 87 0.7× 29 0.3× 42 0.5× 53 0.6× 41 701
Kang‐Sik Park South Korea 12 334 1.8× 101 0.8× 65 0.6× 11 0.1× 35 0.4× 19 607
Mary Y. Lorenson United States 17 387 2.1× 53 0.4× 108 1.1× 20 0.2× 44 0.5× 45 825
María V.T. Lobo Spain 18 380 2.1× 86 0.7× 26 0.3× 11 0.1× 38 0.4× 32 829
Kanako Sato Japan 9 614 3.4× 116 1.0× 66 0.7× 16 0.2× 55 0.6× 16 973
María Dolores Pastor Spain 20 573 3.2× 94 0.8× 37 0.4× 13 0.1× 52 0.6× 27 915
Ke Dong United States 19 1.1k 6.2× 158 1.3× 226 2.2× 24 0.3× 142 1.7× 31 1.4k

Countries citing papers authored by Feng Yin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Yin. A scholar is included among the top collaborators of Feng Yin 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 Feng Yin. Feng Yin 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.
Yin, Feng, et al.. (2025). Quantitation of TAK-981 in human plasma via LC-MS/MS and its application in clinical trials. Bioanalysis. 17(12). 795–805.
2.
Fan, Bin, Ghassan K. Abou‐Alfa, Andrew X. Zhu, et al.. (2024). Pharmacokinetics/pharmacodynamics of ivosidenib in advanced IDH1-mutant cholangiocarcinoma: findings from the phase III ClarIDHy study. Cancer Chemotherapy and Pharmacology. 93(5). 471–479. 4 indexed citations
3.
Yin, Feng, Jan Pinkas, Biplab Das, et al.. (2023). Quantification of antibody–drug conjugate PYX-201 in rat and monkey plasma via ELISA and its application in preclinical studies. Bioanalysis. 15(1). 43–52. 9 indexed citations
4.
5.
Yin, Feng, Jan Pinkas, Biplab Das, et al.. (2023). Quantitation of total antibody (tAb) from antibody drug conjugate (ADC) PYX-201 in rat and monkey plasma using an enzyme-linked immunosorbent assay (ELISA) and its application in preclinical studies. Journal of Pharmaceutical and Biomedical Analysis. 233. 115452–115452. 10 indexed citations
6.
Yin, Feng, et al.. (2023). A sensitive and rapid LC-MS/MS assay for quantitation of free payload Aur0101 from antibody drug conjugate (ADC) PYX-201 in human plasma. Journal of Chromatography B. 1226. 123786–123786. 6 indexed citations
7.
Yin, Feng, et al.. (2023). Bioanalysis of an antibody drug conjugate (ADC) PYX-201 in human plasma using a hybrid immunoaffinity LC–MS/MS approach. Journal of Chromatography B. 1223. 123715–123715. 10 indexed citations
8.
9.
Yin, Feng, et al.. (2019). A double surrogate approach for the quantitation of 2-Hydroxyglutarate – An oncometabolite in human brain tumors via LC-MS/MS. Journal of Pharmaceutical and Biomedical Analysis. 179. 112916–112916. 16 indexed citations
10.
Yepuru, Muralimohan, Zhongzhi Wu, Anand Kulkarni, et al.. (2013). Steroidogenic Enzyme AKR1C3 Is a Novel Androgen Receptor-Selective Coactivator that Promotes Prostate Cancer Growth. Clinical Cancer Research. 19(20). 5613–5625. 102 indexed citations
11.
Yin, Feng. (2013). Ultrasonic Extraction and Composition Identification of Saponins from Aralia continentalis Leaves. Food Science. 1 indexed citations
12.
Yin, Feng, et al.. (2013). Determination of rhodamine B in spices by solid phase extraction-high performance liquid chromatography-tandem mass spectrometry. Chinese Journal of Chromatography. 30(7). 672–676. 4 indexed citations
13.
Tu, Tsang‐Wei, Joong H. Kim, Feng Yin, Lyn B. Jakeman, & Sheng‐Kwei Song. (2013). The impact of myelination on axon sparing and locomotor function recovery in spinal cord injury assessed using diffusion tensor imaging. NMR in Biomedicine. 26(11). 1484–1495. 18 indexed citations
14.
Wang, Yuhong, Jingyu Zhang, Fangfang Qiao, et al.. (2012). Correlation between T lymphocyte subsets in peripheral blood lymphocytes and 2-year all-cause mortality in an apparently healthy elderly Chinese cohort.. PubMed. 125(6). 1121–6. 3 indexed citations
15.
Yin, Feng. (2011). Epidemiologic status and influencing factors of obesity in children and adolescents. Chinese Journal of Child Health Care. 4 indexed citations
16.
Andrews, Ellen M., et al.. (2011). Alterations in chondroitin sulfate proteoglycan expression occur both at and far from the site of spinal contusion injury. Experimental Neurology. 235(1). 174–187. 89 indexed citations
17.
Yin, Feng, et al.. (2011). Determination of three sweeteners in vinegars by solid phase extraction-high performance liquid chromatography/tandem mass spectrometry. Chinese Journal of Chromatography. 29(6). 554–557. 1 indexed citations
18.
Yin, Feng, et al.. (2008). L1 cell adhesion molecule is essential for the maintenance of hyperalgesia after spinal cord injury. Experimental Neurology. 216(1). 22–34. 26 indexed citations
19.
White, Robin, Feng Yin, & Lyn B. Jakeman. (2008). TGF-α increases astrocyte invasion and promotes axonal growth into the lesion following spinal cord injury in mice. Experimental Neurology. 214(1). 10–24. 58 indexed citations
20.
Yin, Feng, Qi Chen, & Howard Sprecher. (1999). A comparison of the metabolism of [3-14C]-labeled 22- and 24-carbon (n−3) and (n−6) unsaturated fatty acids by rat testes and liver. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1438(1). 63–72. 11 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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