Xiaofeng Xin

6.3k citations
45 papers · 1.2k · h-index 17

Impact in

Papers in

Xiaofeng Xin

44 papers receiving 1.2k citations

Peers

Xiaofeng Xin
Comparison fields: 5 of 112
  • Aging 25
  • Cell Biology 205
  • Clinical Biochemistry 70
  • Molecular Biology 719
  • Cancer Research 131
Replace Brian J. Conti with:
Brian J. Conti United States
Daniela Schlatzer United States
Martin H. Schaefer Germany
Chan Tian China
Martin Frejno Germany
Witold Wolski Switzerland
Scott A. Houck United States
Evarist Planet Switzerland
Alessia David United Kingdom
Oliver M. Bernhardt United States
Xiaofeng Xin relative to Brian J. Conti United States Brian J. Conti's profile →
Citations per field
00.5×1.6×
Brian J. Conti · 1×
Citations per year

Countries citing papers authored by Xiaofeng Xin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008378
2 2009102
3 201394
4 201759
5 201252
6 201750
7 201948
8 201442
9 200840
10
Cell freezing protocol suitable for ATAC-Seq on motor neurons derived from human induced pluripotent stem cells
201638
11 200932
12 201730
13 202230
14
Expression of hexokinase 2 in epithelial ovarian tumors and its clinical significance in serous ovarian cancer.
201429
15 201028
16 200128
17 201619
18 202216
19 201716
20 201213

About Xiaofeng Xin

Xiaofeng Xin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Cancer Research and Infectious Diseases, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Multimedia Communication and Technology (3 papers), Asthma and respiratory diseases (3 papers), Advanced Glycation End Products research (3 papers), Bioinformatics and Genomic Networks (3 papers), RNA modifications and cancer (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Aging (25 citations), Cell Biology (205 citations), Clinical Biochemistry (70 citations), Molecular Biology (719 citations) and Cancer Research (131 citations). Xiaofeng Xin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Charles Boone, Yong Song, Stephen L. Sazinsky, Boris Reva, Chris Sander, Laurence A. Lasky, Marie Evangelista, Yan Wu, Andrew C. Chan and B.A. Appleton. Their work appears in journals such as Scientific Reports, Cell Reports, International Immunopharmacology, Genome Research and European Journal of Biochemistry.

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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