Xinjin Chi

1.2k citations
50 papers · 1.0k · h-index 20

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 13
    • Receptor Mechanisms and Signaling 3
    • Heme Oxygenase-1 and Carbon Monoxide 3

Xinjin Chi

49 papers receiving 1.0k citations

Peers

Xinjin Chi
Comparison fields: 5 of 97
  • Developmental Neuroscience 62
  • Critical Care and Intensive Care Medicine 59
  • Hepatology 72
  • Nephrology 63
  • Anesthesiology and Pain Medicine 33
Replace Jia Shi with:
Jia Shi China
Kentaro Tokuda Japan
Zhongjun Zhang China
Ahrom Ham United States
Ju‐Tae Sohn South Korea
Min Zhu China
Changchun Cao China
Xinjin Chi relative to Jia Shi China Jia Shi's profile →
Citations per field
00.5×4.8×
Jia Shi · 1×
Citations per year

Countries citing papers authored by Xinjin Chi

Since Specialization
Citations

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

Fields of papers citing papers by Xinjin Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201587
2 201459
3 201557
4 201455
5 201650
6 201649
7 201548
8 201545
9 202344
10 201642
11 202238
12 201333
13 201532
14 201731
15 202226
16 201524
17 201522
18 202320
19 201620
20 202019

About Xinjin Chi

Xinjin Chi is a scholar working on Surgery, Molecular Biology, Immunology, Hepatology and Epidemiology, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (13 papers), Liver Disease and Transplantation (9 papers), Immune Response and Inflammation (7 papers), Anesthesia and Neurotoxicity Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Developmental Neuroscience (62 citations), Critical Care and Intensive Care Medicine (59 citations), Hepatology (72 citations), Nephrology (63 citations) and Anesthesiology and Pain Medicine (33 citations). Xinjin Chi has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Ziqing Hei, Weifeng Yao, Jun Cai, Gangjian Luo, Yi Jin, Zhengyuan Xia, Dongdong Yuan, Yiheng Wang, Ailan Zhang and Hua Xia. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Journal of Translational Medicine, Frontiers in Immunology, Pulmonary Pharmacology & Therapeutics and Journal of Surgical Research.

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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