Ting Xin

1.8k citations
45 papers · 1.4k · 1 hit paper · h-index 18

Impact in

Papers in

Ting Xin

43 papers receiving 1.4k citations

Ting Xin's Hit Papers

DUSP1 alleviates cardiac ischemia/reperfusion injury by suppressing the Mff-required mitochondrial fission and Bnip3-related mitophagy via the JNK pathways 2017 · 359 citations
3590+3+6Years since publication100200300

Peers

Ting Xin
Comparison fields: 5 of 98
  • Agronomy and Crop Science 215
  • Geriatrics and Gerontology 58
  • Infectious Diseases 255
  • Cancer Research 124
  • Immunology 179
Replace Masaaki Arai with:
Masaaki Arai Japan
Belén Álvarez Spain
Huijun Zhang China
Jon Sin United States
Jiahui Yu China
Liping Yang China
Audrey Esclatine France
Ming‐Qing Gao China
Mahesh C. Sharma United States
Ting Xin relative to Masaaki Arai Japan Masaaki Arai's profile →
Citations per field
00.5×10×16×
Masaaki Arai · 1×
Citations per year

Countries citing papers authored by Ting Xin

Since Specialization
Citations

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

Fields of papers citing papers by Ting Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting 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 Ting Xin Line = papers co-authored together Ting 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
DUSP1 alleviates cardiac ischemia/reperfusion injury by suppressing the Mff-required mitochondrial fission and Bnip3-related mitophagy via the JNK pathways
Hit paper breakdown →
2017359
2 2020131
3 2018106
4 201599
5 202084
6 201469
7 202258
8 202247
9 201841
10 202230
11 201930
12 201824
13 201523
14 201921
15 201821
16 201820
17 201218
18 201917
19 201417
20 201316

About Ting Xin

Ting Xin is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Agronomy and Crop Science and Immunology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (9 papers), Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Viral Infections and Vectors (6 papers), Virus-based gene therapy research (5 papers), Tuberculosis Research and Epidemiology (5 papers), interferon and immune responses (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Agronomy and Crop Science (215 citations), Geriatrics and Gerontology (58 citations), Infectious Diseases (255 citations), Cancer Research (124 citations) and Immunology (179 citations). Ting Xin has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Hao Zhou, Chengzhi Lu, Nan Hu, Shunying Hu, Pingjun Zhu, Jun Ren, Qinhua Jin, Sai Ma, Hong Zhu and Ruibing Li. Their work appears in journals such as Archives of Virology, Aging, Clinical and Vaccine Immunology, Frontiers in Veterinary Science and Biochemical and Biophysical Research Communications.

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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