Xiaojing Yuan

1.2k total citations
20 papers, 916 citations indexed

About

Xiaojing Yuan is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Xiaojing Yuan has authored 20 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Hematology and 5 papers in Cell Biology. Recurrent topics in Xiaojing Yuan's work include Iron Metabolism and Disorders (7 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers) and Hemoglobin structure and function (4 papers). Xiaojing Yuan is often cited by papers focused on Iron Metabolism and Disorders (7 papers), Heme Oxygenase-1 and Carbon Monoxide (7 papers) and Hemoglobin structure and function (4 papers). Xiaojing Yuan collaborates with scholars based in United States, China and Japan. Xiaojing Yuan's co-authors include Iqbal Hamza, Amit R. Reddi, David A. Hanna, Mark D. Fleming, Caroline C. Philpott, Olga Protchenko, Tamika K. Samuel, Norma W. Andrews, Bindu Chandrasekharan and F. Wayne Outten and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Xiaojing Yuan

19 papers receiving 904 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaojing Yuan United States 15 495 201 195 127 125 20 916
Júlio C. Padovan United States 18 614 1.2× 119 0.6× 137 0.7× 60 0.5× 71 0.6× 37 1.1k
Katherine Baran Australia 11 550 1.1× 165 0.8× 48 0.2× 114 0.9× 99 0.8× 12 1.1k
Enrico Bracco Italy 23 622 1.3× 372 1.9× 260 1.3× 91 0.7× 56 0.4× 73 1.4k
Alena Pance United Kingdom 18 802 1.6× 73 0.4× 231 1.2× 131 1.0× 90 0.7× 42 1.2k
Stéphane Égée France 21 435 0.9× 76 0.4× 55 0.3× 336 2.6× 73 0.6× 44 1.1k
Sumie Manno Japan 15 508 1.0× 95 0.5× 157 0.8× 92 0.7× 24 0.2× 21 1.1k
Nelson Hsia United States 14 468 0.9× 72 0.4× 311 1.6× 111 0.9× 12 0.1× 21 1.0k
Xiaohang Cao United States 17 316 0.6× 40 0.2× 42 0.2× 91 0.7× 34 0.3× 27 1.0k
Todd W. Markowski United States 18 410 0.8× 33 0.2× 90 0.5× 40 0.3× 83 0.7× 46 846
Djavad Mossalayi France 19 233 0.5× 39 0.2× 170 0.9× 219 1.7× 103 0.8× 31 1.1k

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
1.
Zhang, Zheng, Zhengchao Zhang, Shuping Zhang, et al.. (2025). Comparative analysis of artificial intelligence tools for the dissemination of colorectal cancer screening guidelines: a novel perspective on early screening education. International Journal of Surgery. 111(11). 8616–8620.
2.
Yuan, Xiaojing, et al.. (2024). Quantitative analysis of heme and hemoglobin for the detection of intravascular hemolysis. Analytica Chimica Acta. 1312. 342766–342766. 3 indexed citations
3.
Zhao, Zhenzhen, Yu Zhou, Jing Kang, et al.. (2022). HRG-9 homologues regulate haem trafficking from haem-enriched compartments. Nature. 610(7933). 768–774. 42 indexed citations
4.
Hanna, David A., Liu Liu, Xiaojing Yuan, et al.. (2021). Heme oxygenase-2 (HO-2) binds and buffers labile ferric heme in human embryonic kidney cells. Journal of Biological Chemistry. 298(2). 101549–101549. 13 indexed citations
5.
Yuan, Xiaojing, Nicole Rietzschel, Jianbing Zhang, et al.. (2019). Hemozoin produced by mammals confers heme tolerance. eLife. 8. 39 indexed citations
6.
Tosha, Takehiko, Keitaro Yamashita, Kunio Hirata, et al.. (2018). Structural basis for promotion of duodenal iron absorption by enteric ferric reductase with ascorbate. Communications Biology. 1(1). 120–120. 34 indexed citations
7.
Yuan, Xiaojing, et al.. (2018). Label-Free Imaging of Heme Dynamics in Living Organisms by Transient Absorption Microscopy. Analytical Chemistry. 90(5). 3395–3401. 30 indexed citations
8.
Samuel, Tamika K., Xiaojing Yuan, Jianbing Zhang, et al.. (2017). Inter-organ signalling by HRG-7 promotes systemic haem homeostasis. Nature Cell Biology. 19(7). 799–807. 22 indexed citations
9.
Gouveia, Zélia, Ana Rita Carlos, Xiaojing Yuan, et al.. (2017). Characterization of plasma labile heme in hemolytic conditions. FEBS Journal. 284(19). 3278–3301. 44 indexed citations
10.
Yuan, Xiaojing, Nicole Rietzschel, Hanna Kwon, et al.. (2016). Regulation of intracellular heme trafficking revealed by subcellular reporters. Proceedings of the National Academy of Sciences. 113(35). E5144–52. 101 indexed citations
11.
Yuan, Xiaojing, et al.. (2016). A new Cd(II) coordination polymer constructed by a flexible carboxylate ligand. Journal of Structural Chemistry. 57(5). 1036–1040. 2 indexed citations
12.
Hanna, David A., Osiris Martinez-Guzman, Xiaojing Yuan, et al.. (2016). Heme dynamics and trafficking factors revealed by genetically encoded fluorescent heme sensors. Proceedings of the National Academy of Sciences. 113(27). 7539–7544. 143 indexed citations
13.
Luck, Ashley N., Xiaojing Yuan, Denis Voronin, et al.. (2016). Heme acquisition in the parasitic filarial nematode Brugia malayi. The FASEB Journal. 30(10). 3501–3514. 19 indexed citations
14.
Renberg, Rebecca L., Xiaojing Yuan, Tamika K. Samuel, et al.. (2015). The Heme Transport Capacity of LHR1 Determines the Extent of Virulence in Leishmania amazonensis. PLoS neglected tropical diseases. 9(5). e0003804–e0003804. 29 indexed citations
15.
Wu, Fan, et al.. (2015). Screening of potential anti-influenza agents from juglans mandshurica maxim. by docking and md simulations. 1 indexed citations
16.
Yuan, Xiaojing, Paul J. Schmidt, Erica Bresciani, et al.. (2013). HRG1 Is Essential for Heme Transport from the Phagolysosome of Macrophages during Erythrophagocytosis. Cell Metabolism. 17(2). 261–270. 186 indexed citations
17.
Yuan, Xiaojing, Mark D. Fleming, & Iqbal Hamza. (2013). Heme transport and erythropoiesis. Current Opinion in Chemical Biology. 17(2). 204–211. 42 indexed citations
18.
Huynh, Chau, Xiaojing Yuan, Danilo C. Miguel, et al.. (2012). Heme Uptake by Leishmania amazonensis Is Mediated by the Transmembrane Protein LHR1. PLoS Pathogens. 8(7). e1002795–e1002795. 92 indexed citations
19.
Yuan, Xiaojing, Olga Protchenko, Caroline C. Philpott, & Iqbal Hamza. (2011). Topologically Conserved Residues Direct Heme Transport in HRG-1-related Proteins. Journal of Biological Chemistry. 287(7). 4914–4924. 56 indexed citations

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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