Ying Yan

1.2k total citations · 1 hit paper
21 papers, 673 citations indexed

About

Ying Yan is a scholar working on Physiology, Molecular Biology and Oncology. According to data from OpenAlex, Ying Yan has authored 21 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Ying Yan's work include Nutrition and Health in Aging (7 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Ovarian function and disorders (4 papers). Ying Yan is often cited by papers focused on Nutrition and Health in Aging (7 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Ovarian function and disorders (4 papers). Ying Yan collaborates with scholars based in United States, China and Australia. Ying Yan's co-authors include John Friend, Jennifer S. Temel, David C. Currow, Elizabeth Manning Duus, Kenneth C.H. Fearon, Amy P. Abernethy, Chao Wang, Ke Xu, Shouqiang Cao and Anhua Wu and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and The Lancet Oncology.

In The Last Decade

Ying Yan

19 papers receiving 664 citations

Hit Papers

Anamorelin in patients with non-small-cell lung cancer an... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Yan United States 9 392 166 158 92 81 21 673
Magda R. Hamczyk Spain 12 140 0.4× 395 2.4× 77 0.5× 38 0.4× 38 0.5× 22 811
Rana Malek United States 12 379 1.0× 358 2.2× 66 0.4× 11 0.1× 32 0.4× 40 1.1k
Kazuo Muta Japan 14 358 0.9× 195 1.2× 160 1.0× 150 1.6× 22 0.3× 29 847
Qiulin Zhuang China 15 350 0.9× 279 1.7× 108 0.7× 78 0.8× 29 0.4× 27 768
Massimo Ghiani Italy 11 204 0.5× 97 0.6× 147 0.9× 7 0.1× 19 0.2× 28 521
Maria L. Mace Denmark 16 61 0.2× 131 0.8× 46 0.3× 17 0.2× 90 1.1× 27 592
N. J. Samani United Kingdom 15 148 0.4× 196 1.2× 36 0.2× 15 0.2× 34 0.4× 37 1.1k
Elizabeth A. Hibler United States 19 158 0.4× 147 0.9× 190 1.2× 10 0.1× 16 0.2× 42 810
Liza S. M. Wong Netherlands 11 384 1.0× 158 1.0× 34 0.2× 47 0.5× 6 0.1× 17 600
Talia Diker‐Cohen Israel 16 87 0.2× 208 1.3× 117 0.7× 11 0.1× 15 0.2× 41 757

Countries citing papers authored by Ying Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yan. A scholar is included among the top collaborators of Ying Yan 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 Ying Yan. Ying Yan 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
2.
McKay, Rana R., Andrew J. Armstrong, Hamid Emamekhoo, et al.. (2023). The Maverick trial: A phase 2 study of abivertinib in patients (pts) with metastatic castration resistant prostate cancer (mCRPC).. Journal of Clinical Oncology. 41(16_suppl). TPS5106–TPS5106. 1 indexed citations
3.
Yan, Ying, et al.. (2022). Efficacy and Safety of Cangfu Daotan Decoction in Patients with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis. Evidence-based Complementary and Alternative Medicine. 2022. 1–13. 4 indexed citations
4.
Chen, Ying, et al.. (2021). Nomogram Model to Predict the Probability of Ovarian Hyperstimulation Syndrome in the Treatment of Patients With Polycystic Ovary Syndrome. Frontiers in Endocrinology. 12. 619059–619059. 10 indexed citations
5.
Yan, Ying, et al.. (2021). The threshold effect of factors associated with spontaneous abortion in human-assisted reproductive technology. Scientific Reports. 11(1). 11368–11368. 8 indexed citations
7.
Liu, Yinghua, Jing Sun, Xin Wang, Ling Shi, & Ying Yan. (2019). Effect of herb-partitioned moxibustion for primary dysmenorrhea: a randomized clinical trial.. PubMed. 39(2). 237–245. 5 indexed citations
9.
Temel, Jennifer S., Amy P. Abernethy, David C. Currow, et al.. (2016). Anamorelin in patients with non-small-cell lung cancer and cachexia (ROMANA 1 and ROMANA 2): results from two randomised, double-blind, phase 3 trials. The Lancet Oncology. 17(4). 519–531. 439 indexed citations breakdown →
10.
Wang, Chenguang, Daniel O. Scharfstein, Elizabeth Colantuoni, Timothy D. Girard, & Ying Yan. (2016). Inference in Randomized Trials with Death and Missingness. Biometrics. 73(2). 431–440. 20 indexed citations
11.
Yan, Ying. (2015). Effect of lead aVR on recent prognosis in patients with non-ST-elevation acutecoronary syndrome. Zhongguo jiceng yiyao. 22(19). 2962–2966. 2 indexed citations
12.
Currow, David C., Jennifer S. Temel, Kenneth C. H. Fearon, et al.. (2015). A safety extension study of anamorelin in advanced non-small cell lung cancer patients with cachexia: ROMANA 3.. Journal of Clinical Oncology. 33(15_suppl). e20715–e20715. 5 indexed citations
13.
Currow, David C., Jennifer S. Temel, Kenneth C.H. Fearon, et al.. (2015). 1603 ROMANA 3: A safety extension study of anamorelin in advanced non-small cell lung cancer (NSCLC) patients with cachexia. European Journal of Cancer. 51. S239–S239. 2 indexed citations
14.
Salsman, John M., Jennifer L. Beaumont, Katy Wortman, et al.. (2014). Brief versions of the FACIT-fatigue and FAACT subscales for patients with non-small cell lung cancer cachexia. Supportive Care in Cancer. 23(5). 1355–1364. 18 indexed citations
15.
Seshacharyulu, Parthasarathy, Moorthy P. Ponnusamy, Satyanarayana Rachagani, et al.. (2014). Targeting EGF-receptor(s) - STAT1 axis attenuates tumor growth and metastasis through downregulation of MUC4 mucin in human pancreatic cancer. Oncotarget. 6(7). 5164–5181. 42 indexed citations
16.
Bonomi, Philip, Jennifer S. Temel, David C. Currow, et al.. (2014). Anamorelin for the Treatment of Cancer Anorexia-Cachexia in Advanced NSCLC Patients: Results From ROMANA 1, a Pivotal Phase 3 Study. International Journal of Radiation Oncology*Biology*Physics. 90(5). S3–S3. 5 indexed citations
17.
Abernethy, Amy Pickar, David C. Currow, Lyon L. Gleich, et al.. (2014). Subgroup analysis of ECOG2 patients from ROMANA 2: A phase III study of anamorelin in NSCLC patients with cachexia.. Journal of Clinical Oncology. 32(31_suppl). 6–6. 1 indexed citations
18.
Temel, Jennifer S., et al.. (2013). Evaluation of quality of life from a phase II study of anamorelin HCl in NSCLC patients.. Journal of Clinical Oncology. 31(31_suppl). 42–42. 1 indexed citations
19.
Garcia, José M., Ying Yan, Elizabeth Manning Duus, & John Friend. (2012). Anamorelin's Effects on Appendicular Lean Body Mass in Cancer Patients with Cachexia; Results from A Phase II Randomized, Double Blind, Multicenter Study. Annals of Oncology. 23. ix512–ix512. 3 indexed citations
20.
Yan, Ying, et al.. (2000). Helicobacter pylori Induces Formation of Stress Fibers and Membrane Ruffles in AGS Cells by rac Activation. Biochemical and Biophysical Research Communications. 269(1). 247–253. 17 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026