Xinxing Yang

614 citations
29 papers · 471 · h-index 12

Impact in

Papers in

Xinxing Yang

28 papers receiving 464 citations

Peers

Xinxing Yang
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 30
  • Molecular Biology 249
  • Aging 5
  • Cell Biology 39
  • Plant Science 88
Replace María‐Ángeles Navas with:
María‐Ángeles Navas Spain
Richa Garva United Kingdom
Jia‐Yi Wei China
Justyna Józefczuk Germany
Yanhui Li China
Barbara Schlingmann United States
Hugues Jacobs France
Xing Zhao China
Miyako Udono Japan
Eleonora Ferrari Italy
Xinxing Yang relative to María‐Ángeles Navas Spain María‐Ángeles Navas's profile →
Citations per field
00.5×4.4×
María‐Ángeles Navas · 1×
Citations per year

Countries citing papers authored by Xinxing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xinxing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xinxing Yang, 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 Xinxing Yang Line = papers co-authored together Xinxing Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992106
2 199259
3 202234
4 202232
5 201728
6 202025
7 201920
8 201719
9 201816
10 201716
11 201914
12 201113
13 201711
14 202011
15 20177
16 20227
17 20096
18 20166
19
Reversing drug resistance in the ovarian carcinoma cell line SKOV3/mdr1 in vitro by antisense oligodeoxynucleotides.
20016
20 20186

About Xinxing Yang

Xinxing Yang is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Cancer Research and Biomedical Engineering, having authored 29 papers that have together received 471 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Ultrasound and Hyperthermia Applications (3 papers), Ubiquitin and proteasome pathways (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Regulation of Appetite and Obesity (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (30 citations), Molecular Biology (249 citations), Aging (5 citations), Cell Biology (39 citations) and Plant Science (88 citations). Xinxing Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Marian Carlson, Michelle Treitel, Francisco Estruch, Yanyan Li, E. Jane Albert Hubbard, Ge Gong, Yanhong Zhou, Xin-zheng Lu, Pengying Wu and Mengfan Qin. Their work appears in journals such as Frontiers in Physiology, Frontiers in Endocrinology, Genetics, Frontiers in Genetics and Frontiers in Pharmacology.

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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