Zhi Peng Su

410 total citations
10 papers, 326 citations indexed

About

Zhi Peng Su is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Zhi Peng Su has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in Zhi Peng Su's work include Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Adrenal and Paraganglionic Tumors (4 papers). Zhi Peng Su is often cited by papers focused on Pituitary Gland Disorders and Treatments (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Adrenal and Paraganglionic Tumors (4 papers). Zhi Peng Su collaborates with scholars based in China and United States. Zhi Peng Su's co-authors include Zhe Wu, Qi Chuan Zhuge, Lin Cai, Yong Chen, Chun Jiang Yu, Lin Chen, Shao Jian Lin, Yan Zeng, Wei Zhao and Ming Zhong and has published in prestigious journals such as Journal of neurosurgery, Molecular and Cellular Endocrinology and Neuroendocrinology.

In The Last Decade

Zhi Peng Su

10 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhi Peng Su China	8	256	159	88	81	58	10	326
Craig E Stiles United Kingdom	9	245 1.0×	145 0.9×	64 0.7×	47 0.6×	62 1.1×	12	291
Amandine Ferrière France	11	253 1.0×	167 1.1×	40 0.5×	46 0.6×	56 1.0×	34	384
Liliya Rostomyan Belgium	11	254 1.0×	133 0.8×	62 0.7×	54 0.7×	58 1.0×	18	301
J Kreutzer Germany	7	315 1.2×	194 1.2×	70 0.8×	106 1.3×	43 0.7×	8	405
Maria Maksymowicz Poland	14	440 1.7×	235 1.5×	189 2.1×	128 1.6×	113 1.9×	55	546
Weichao Ma China	10	112 0.4×	89 0.6×	53 0.6×	72 0.9×	110 1.9×	19	279
Elena Daniela Aflorei United Kingdom	3	152 0.6×	71 0.4×	70 0.8×	48 0.6×	39 0.7×	5	185
RA Feelders Netherlands	4	339 1.3×	173 1.1×	35 0.4×	102 1.3×	45 0.8×	9	383
Elina Heliövaara Finland	6	191 0.7×	104 0.7×	43 0.5×	76 0.9×	83 1.4×	7	271
Emilija Manojlović-Gačić Serbia	8	140 0.5×	61 0.4×	82 0.9×	64 0.8×	31 0.5×	25	199

Countries citing papers authored by Zhi Peng Su

Since Specialization

Citations

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

Fields of papers citing papers by Zhi Peng Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi Peng Su. 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 Zhi Peng Su. The network helps show where Zhi Peng Su may publish in the future.

Co-authorship network of co-authors of Zhi Peng Su

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

All Works

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10 of 10 papers shown

Wu, Ze, Ze Wu, Yong Zhang, et al.. (2016). Long-Term Clinical Outcomes of Invasive Giant Prolactinomas after a Mean Ten-Year Followup. International Journal of Endocrinology. 2016. 1–7. 10 indexed citations

Cai, Lin, Yu Guo, Shao Jian Lin, et al.. (2015). Dopamine agonist resistance-related endocan promotes angiogenesis and cells viability of prolactinomas. Endocrine. 52(3). 641–651. 17 indexed citations

Wu, Zhe, Shao Jian Lin, Lin Cai, et al.. (2014). MicroRNA expression profile of bromocriptine-resistant prolactinomas. Molecular and Cellular Endocrinology. 395(1-2). 10–18. 40 indexed citations

Chen, Yong, et al.. (2012). Natural History of Postoperative Nonfunctioning Pituitary Adenomas: A Systematic Review and Meta-Analysis. Neuroendocrinology. 96(4). 333–342. 97 indexed citations

Wu, Zhe, Zhi Peng Su, Yong Chen, et al.. (2010). Expression of D2RmRNA isoforms and ERmRNA isoforms in prolactinomas: correlation with the response to bromocriptine and with tumor biological behavior. Journal of Neuro-Oncology. 99(1). 25–32. 50 indexed citations

Wu, Zhe, et al.. (2009). Correlation of alternative splicing of the D2 dopamine receptor mRNA and estrogen receptor mRNA in the prolactinomas and gonadotrope tumors. Journal of Neuro-Oncology. 94(1). 135–139. 7 indexed citations

Su, Zhi Peng, et al.. (2007). Biomechanical Evaluation of Cranial Flap Fixation Techniques. Annals of Plastic Surgery. 58(4). 388–391. 14 indexed citations

Wu, Zhe, et al.. (2007). Five years follow-up of invasive prolactinomas with special reference to the control of cavernous sinus invasion. Pituitary. 11(1). 63–70. 23 indexed citations

Wu, Zhe, et al.. (2006). Bromocriptine treatment of invasive giant prolactinomas involving the cavernous sinus: results of a long-term follow up. Journal of neurosurgery. 104(1). 54–61. 63 indexed citations

10.

Li, Guilan, et al.. (2003). [Effect of the polymorphism of myeloperoxidase gene on the risk of benzene poisoning].. PubMed. 21(2). 86–9. 5 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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