Xiaojie Bi

2.2k total citations
9 papers, 135 citations indexed

About

Xiaojie Bi is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Xiaojie Bi has authored 9 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Oncology. Recurrent topics in Xiaojie Bi's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and SARS-CoV-2 detection and testing (4 papers). Xiaojie Bi is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers) and SARS-CoV-2 detection and testing (4 papers). Xiaojie Bi collaborates with scholars based in China. Xiaojie Bi's co-authors include Bo Shen, Haixi Yan, Linping Chen, Juping Du, Minfei Peng, Jing Wang, Jun Li, Shiyong Chen, Shen Bo and Tao‐Hsin Tung and has published in prestigious journals such as Frontiers in Microbiology, International Immunopharmacology and Platelets.

In The Last Decade

Xiaojie Bi

6 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaojie Bi China	4	106	45	40	24	19	9	135
Ángel Ramírez-Fernández Spain	3	105 1.0×	63 1.4×	36 0.9×	10 0.4×	19 1.0×	5	149
Giulia Tesini Italy	5	45 0.4×	23 0.5×	29 0.7×	30 1.3×	15 0.8×	6	106
Adrian Doevelaar Germany	8	121 1.1×	62 1.4×	20 0.5×	13 0.5×	13 0.7×	20	181
Manon Lejeune France	6	74 0.7×	40 0.9×	33 0.8×	20 0.8×	21 1.1×	9	153
The Lancet Haematology	3	73 0.7×	30 0.7×	18 0.5×	5 0.2×	9 0.5×	11	100
María Lasa‐Lázaro Spain	2	105 1.0×	63 1.4×	18 0.5×	10 0.4×	21 1.1×	3	136
Jianglin Xiang China	2	255 2.4×	149 3.3×	40 1.0×	27 1.1×	23 1.2×	5	308
Deepak Nagra United Kingdom	6	47 0.4×	40 0.9×	16 0.4×	13 0.5×	34 1.8×	25	124
Inessa Goldman United States	4	51 0.5×	37 0.8×	35 0.9×	24 1.0×	6 0.3×	12	116

Countries citing papers authored by Xiaojie Bi

Since Specialization

Citations

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

Fields of papers citing papers by Xiaojie Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojie Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojie Bi. A scholar is included among the top collaborators of Xiaojie Bi 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 Xiaojie Bi. Xiaojie Bi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Chen, Chaochao, et al.. (2025). Biomarkers for Early Predicting In-Hospital Mortality in Severe Fever with Thrombocytopenia Syndrome and Differentiating It from Hemorrhagic Fever with Renal Syndrome. Infection and Drug Resistance. Volume 18. 1355–1366.

Chen, Chaochao, et al.. (2025). A Web-Based Dynamic Nomogram for Early Diagnosis in Sepsis: Development and Validation with Real-World Clinical Utility. Infection and Drug Resistance. Volume 18. 4667–4676.

Zheng, Yufen, Jing Wang, Tao‐Hsin Tung, et al.. (2023). Efficacy of the neutralizing antibodies after the booster dose on SARS-CoV-2 Omicron variant and a two-year longitudinal antibody study on Wild Type convalescents. International Immunopharmacology. 119. 110151–110151. 2 indexed citations

Zhou, Kai, Bingjie Hu, Hongbo Chi, et al.. (2023). Longitudinal observation of viral load in patients infected with Omicron variant and its relationship with clinical symptoms. Frontiers in Microbiology. 13. 1037733–1037733. 4 indexed citations

Chen, Mengyuan, Lingjun Ying, Tao‐Hsin Tung, et al.. (2022). Clinical practice of rapid antigen tests for SARS-CoV-2 Omicron variant: A single-center study in China. Virologica Sinica. 37(6). 842–849. 3 indexed citations

Bi, Xiaojie, Ying Zhang, Chaochao Chen, et al.. (2022). Differences Between Omicron Infections and Fever Outpatients: Comparison of Clinical Manifestations and Initial Routine Hematology Indicators. Infection and Drug Resistance. Volume 15. 5111–5120. 2 indexed citations

Bi, Xiaojie, Haixi Yan, Juping Du, et al.. (2020). Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count. Platelets. 31(5). 674–679. 120 indexed citations

Bi, Xiaojie, et al.. (2019). [Acquired blood coagulation factor Ⅴ deficiency in a patient with severe burn].. PubMed. 35(1). 71–73.

Bi, Xiaojie, et al.. (2018). A novel compound heterozygous mutations in protein C gene causing neonatal purpura fulminans. Blood Coagulation & Fibrinolysis. 29(2). 216–219. 4 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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