Shile Sheng

770 total citations
9 papers, 601 citations indexed

About

Shile Sheng is a scholar working on Cancer Research, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shile Sheng has authored 9 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shile Sheng's work include Cancer, Hypoxia, and Metabolism (3 papers), Hormonal and reproductive studies (1 paper) and Pregnancy and preeclampsia studies (1 paper). Shile Sheng is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Hormonal and reproductive studies (1 paper) and Pregnancy and preeclampsia studies (1 paper). Shile Sheng collaborates with scholars based in China, United States and France. Shile Sheng's co-authors include Xiaoguang Sun, Gang Huang, Ping Miao, Jianjun Liu, Gang Huang, Yun Sun, Weiping Li, Cong Zhang, Huihui Li and Zi‐Jiang Chen and has published in prestigious journals such as PLoS ONE, Clinica Chimica Acta and Reproduction.

In The Last Decade

Shile Sheng

9 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shile Sheng China	7	319	289	91	86	49	9	601
Chae Young Han Canada	11	399 1.3×	225 0.8×	54 0.6×	98 1.1×	23 0.5×	13	593
Е. V. Tsyrlina Russia	12	391 1.2×	286 1.0×	42 0.5×	158 1.8×	22 0.4×	37	667
Jie Meng China	12	253 0.8×	135 0.5×	34 0.4×	108 1.3×	24 0.5×	27	472
Elizabeth V. Nguyen United States	16	303 0.9×	115 0.4×	147 1.6×	109 1.3×	22 0.4×	27	635
M. Val Toledo-Lobo Spain	13	320 1.0×	135 0.5×	60 0.7×	117 1.4×	13 0.3×	31	531
Andrew Trotta Australia	13	453 1.4×	154 0.5×	122 1.3×	125 1.5×	110 2.2×	17	693
Xiaonian Cao China	15	380 1.2×	232 0.8×	93 1.0×	112 1.3×	13 0.3×	31	604
Masayuki Futagami Japan	16	405 1.3×	156 0.5×	126 1.4×	226 2.6×	47 1.0×	62	957
Ke Hu China	15	386 1.2×	383 1.3×	39 0.4×	44 0.5×	33 0.7×	32	644
Tingting Xia China	11	249 0.8×	89 0.3×	29 0.3×	86 1.0×	29 0.6×	36	555

Countries citing papers authored by Shile Sheng

Since Specialization

Citations

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

Fields of papers citing papers by Shile Sheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shile Sheng

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

All Works

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9 of 9 papers shown

Tong, Jing, Shile Sheng, Yun Sun, et al.. (2017). Melatonin levels in follicular fluid as markers for IVF outcomes and predicting ovarian reserve. Reproduction. 153(4). 443–451. 68 indexed citations

Yan, Yan, et al.. (2017). Insulin resistance in patients with recurrent pregnancy loss is associated with lymphocyte population aberration. Systems Biology in Reproductive Medicine. 63(6). 397–404. 5 indexed citations

Chen, Hankui, Helu Liu, Rui Chen, et al.. (2016). Evaluation of Plasma miR-21 and miR-152 as Diagnostic Biomarkers for Common Types of Human Cancers. Journal of Cancer. 7(5). 490–499. 60 indexed citations

Huang, Chen, Shile Sheng, Rui Li, et al.. (2014). Lactate promotes resistance to glucose starvation via upregulation of Bcl-2 mediated by mTOR activation. Oncology Reports. 33(2). 875–884. 30 indexed citations

Dai, Yunhai, Xiaopeng Xiong, Gang Huang, et al.. (2014). Dichloroacetate Enhances Adriamycin-Induced Hepatoma Cell Toxicity In Vitro and In Vivo by Increasing Reactive Oxygen Species Levels. PLoS ONE. 9(4). e92962–e92962. 36 indexed citations

Huang, Chen, Shile Sheng, Xiaoguang Sun, Jianju Liu, & Gang Huang. (2014). Lens culinaris agglutinin-reactive α-fetoprotein decline after transcatheter arterial chemoembolization in patients with hepatocellular carcinoma predicts survival. Clinica Chimica Acta. 431. 232–238. 12 indexed citations

Miao, Ping, Shile Sheng, Xiaoguang Sun, Jianjun Liu, & Gang Huang. (2013). Lactate dehydrogenase a in cancer: A promising target for diagnosis and therapy. IUBMB Life. 65(11). 904–910. 331 indexed citations

Bao, Shihua, Yifeng Peng, Shile Sheng, & Qide Lin. (2008). Assessment of urinary total testosterone production by a highly sensitive time‐resolved fluorescence immunoassay. Journal of Clinical Laboratory Analysis. 22(6). 403–408. 6 indexed citations

Gu, Ping, et al.. (2007). Diagnostic utility of pleural fluid carcinoembryonic antigen and CYFRA 21‐1 in patients with pleural effusion: a systematic review and meta‐analysis. Journal of Clinical Laboratory Analysis. 21(6). 398–405. 53 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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