Dan Zhang

269 papers receiving 5.9k citations

Dan Zhang's Hit Papers

Perfecting and extending the near-infrared imaging window 2021 · 254 citations
2540+1+3Years since publication50100150200250

Peers

Dan Zhang
Comparison fields: 5 of 181
  • Reproductive Medicine 898
  • Obstetrics and Gynecology 448
  • Pediatrics, Perinatology and Child Health 765
  • Cancer Research 455
  • Molecular Biology 2.1k
Replace Shixuan Wang with:
Shixuan Wang China
David E.C. Cole Canada
Meng Wang China
Ciriaco Carru Italy
Takumi Takeuchi Japan
Lei Li China
Yunxia Cao China
Charles M. Peterson United States
Maureen A. Kane United States
Rebecca Troisi United States
Dan Zhang relative to Shixuan Wang China Shixuan Wang's profile →
Citations per field
00.5×3.6×
Shixuan Wang · 1×
Citations per year

Countries citing papers authored by Dan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dan Zhang Line = papers co-authored together Dan Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 286 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Perfecting and extending the near-infrared imaging window
Hit paper breakdown →
2021254
2 2012204
3 2019196
4 2017159
5 2015130
6 2016129
7 2015120
8 2005103
9 2015102
10 201493
11 202290
12 201087
13 202385
14 201781
15 201580
16 201474
17 202373
18 201265
19 201164
20 201962

About Dan Zhang

Dan Zhang is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Biomedical Engineering, having authored 286 papers that have together received 6.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (38 papers), Reproductive Biology and Fertility (32 papers), Assisted Reproductive Technology and Twin Pregnancy (25 papers), Nanoplatforms for cancer theranostics (19 papers), Endometriosis Research and Treatment (17 papers), Epigenetics and DNA Methylation (17 papers), Reproductive System and Pregnancy (15 papers) and RNA modifications and cancer (13 papers). The work is most often cited by research in Reproductive Medicine (898 citations), Obstetrics and Gynecology (448 citations), Pediatrics, Perinatology and Child Health (765 citations), Cancer Research (455 citations) and Molecular Biology (2.1k citations). Dan Zhang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jian‐Zhong Sheng, He‐Feng Huang, Kai-Lun Hu, Renyi Zhang, Guolian Ding, Fan Qu, Hefeng Huang, Xianya Qin, Siwen Wang and Zhengduo Yang. Their work appears in journals such as Scientific Reports, Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Fertility and Sterility and BMC Pregnancy and Childbirth.

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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