Xiaojing Yuan

1.2k citations
20 papers · 916 indexed · h-index 15
Topics
Iron Metabolism and Disorders (7 papers)Heme Oxygenase-1 and Carbon Monoxide (7 papers)Hemoglobin structure and function (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Xiaojing Yuan

19 papers receiving 904 citations

Peers

Xiaojing Yuan
Comparison fields: 5 of 88
  • Molecular Biology 495
  • Hematology 201
  • Cell Biology 195
  • Public Health, Environmental and Occupational Health 127
  • Epidemiology 125
Replace Katherine Baran with:
Katherine Baran Australia
Alena Pance United Kingdom
Alberta A. Davis United States
Enrico Bracco Italy
Júlio C. Padovan United States
Petra Erdmann-Gilmore United States
Xiaohang Cao United States
Todd W. Markowski United States
Hong Huang China
Xiaojing Yuan relative to Katherine Baran Australia Katherine Baran's profile →
Citations per field
00.5×4.1×
Katherine Baran · 1×
Citations per year

Countries citing papers authored by Xiaojing Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojing Yuan. A scholar is included among the top collaborators of Xiaojing Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaojing Yuan. Xiaojing Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 42
4 13
5 39
6 34
7 30
8 22
9 44
10 101
11 2
12 143
13 19
14 29
15
Screening of potential anti-influenza agents from juglans mandshurica maxim. by docking and md simulations
1
16 186
17 42
18 92
19 56
20 18

About Xiaojing Yuan

Xiaojing Yuan is a scholar working on Health Informatics, Structural Biology and Hematology, having authored 20 papers that have together received 916 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (7 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers) and Hemoglobin structure and function (4 papers). The work is most often cited by research in Aging (36 citations), Hematology (201 citations) and Cell Biology (195 citations). Xiaojing Yuan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Iqbal Hamza, Amit R. Reddi, David A. Hanna, Mark D. Fleming, Olga Protchenko, Caroline C. Philpott, Tamika K. Samuel, Rebecca L. Renberg, Bindu Chandrasekharan and Norma W. Andrews. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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