Zenas Chang

494 total citations
10 papers, 249 citations indexed

About

Zenas Chang is a scholar working on Molecular Biology, Obstetrics and Gynecology and Cancer Research. According to data from OpenAlex, Zenas Chang has authored 10 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Obstetrics and Gynecology and 3 papers in Cancer Research. Recurrent topics in Zenas Chang's work include Endometrial and Cervical Cancer Treatments (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer-related molecular mechanisms research (2 papers). Zenas Chang is often cited by papers focused on Endometrial and Cervical Cancer Treatments (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer-related molecular mechanisms research (2 papers). Zenas Chang collaborates with scholars based in United States, South Korea and Sweden. Zenas Chang's co-authors include Sally A. Mullany, Martina Bazzaro, Stig Linder, Charles N. Landen, Boris Winterhoff, Timothy K. Starr, Adriana A. de Jesus, Dawn Chapelle, Daniel L. Kastner and Karyl S. Barron and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Gynecologic Oncology.

In The Last Decade

Zenas Chang

10 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zenas Chang United States	7	124	71	48	37	35	10	249
Salar Pashangzadeh Iran	11	96 0.8×	39 0.5×	127 2.6×	18 0.5×	19 0.5×	22	286
Xiaoshan Chai China	11	91 0.7×	40 0.6×	92 1.9×	94 2.5×	60 1.7×	16	272
Ningning Yang China	8	165 1.3×	67 0.9×	23 0.5×	139 3.8×	28 0.8×	20	393
Pamela Stone United States	11	134 1.1×	49 0.7×	103 2.1×	95 2.6×	15 0.4×	15	374
Gad Sabah Israel	9	151 1.2×	120 1.7×	13 0.3×	135 3.6×	17 0.5×	29	381
Shohreh Ghazali United Kingdom	5	175 1.4×	144 2.0×	21 0.4×	81 2.2×	6 0.2×	5	305
Qianqing Wang China	10	321 2.6×	224 3.2×	34 0.7×	51 1.4×	10 0.3×	23	473
Miłosz Wilczyński Poland	10	140 1.1×	131 1.8×	43 0.9×	72 1.9×	6 0.2×	32	290
R. Holanda Da Silva Sanches France	5	218 1.8×	52 0.7×	26 0.5×	75 2.0×	16 0.5×	7	344
Ricardo López-Romero Mexico	10	150 1.2×	99 1.4×	28 0.6×	12 0.3×	8 0.2×	30	317

Countries citing papers authored by Zenas Chang

Since Specialization

Citations

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

Fields of papers citing papers by Zenas Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zenas Chang

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

10 of 10 papers shown

Chang, Zenas, et al.. (2021). Single-Cell RNA Sequencing of Ovarian Cancer: Promises and Challenges. Advances in experimental medicine and biology. 1330. 113–123. 6 indexed citations

Chang, Zenas, et al.. (2020). Incisional carcinoma of Mullerian Origin: A case report and review of literature. Gynecologic Oncology Reports. 33. 100588–100588. 6 indexed citations

Mullany, Sally A., et al.. (2019). Targeting Mitochondria for Treatment of Chemoresistant Ovarian Cancer. International Journal of Molecular Sciences. 20(1). 229–229. 87 indexed citations

Chang, Zenas, Mihir Shetty, Yoshie Iizuka, et al.. (2018). RNA Sequencing of Carboplatin- and Paclitaxel-Resistant Endometrial Cancer Cells Reveals New Stratification Markers and Molecular Targets for Cancer Treatment. Hormones and Cancer. 9(5). 326–337. 13 indexed citations

Chang, Zenas, et al.. (2018). Molecular characterization of endometrial cancer and therapeutic implications. Current Opinion in Obstetrics & Gynecology. 31(1). 24–30. 37 indexed citations

Winterhoff, Boris, et al.. (2018). Single-cell sequencing in ovarian cancer: a new frontier in precision medicine. Current Opinion in Obstetrics & Gynecology. 31(1). 49–55. 15 indexed citations

Chang, Zenas, et al.. (2015). Referrals to Genetic Counseling in Patients with Ovarian, Fallopian Tube, or Primary Peritoneal Cancer, an Institutional Review. Gynecologic Oncology. 139(3). 586–586. 1 indexed citations

Chang, Zenas, Catherine Y. Spong, Adriana A. de Jesus, et al.. (2014). Brief Report: Anakinra Use During Pregnancy in Patients With Cryopyrin‐Associated Periodic Syndromes. Arthritis & Rheumatology. 66(11). 3227–3232. 65 indexed citations

Sahu, Surasri N., et al.. (2013). Identification of Virulence Properties in Salmonella Typhimurium DT104 Using Caenorhabditis elegans. PLoS ONE. 8(10). e76673–e76673. 12 indexed citations

10.

Sahu, Surasri N., et al.. (2013). Correction: Identification of Virulence Properties in Salmonella Typhimurium DT104 Using Caenorhabditis elegans. PLoS ONE. 8(11). 7 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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