Bin Xu

263 papers receiving 6.9k citations

Bin Xu's Hit Papers

Toxoplasma gondii Infection in Immunocompromised Patients: A Systematic Review and Meta-Analysis 2017 · 230 citations
2300+3+6Years since publication250500750

Peers

Bin Xu
Comparison fields: 5 of 147
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Otorhinolaryngology 489
  • Oncology 1.9k
  • Developmental Neuroscience 286
  • Surgery 2.3k
Replace Kathleen C. Flanders with:
Kathleen C. Flanders United States
Ken‐ichi Nibu Japan
Hidenori Inohara Japan
Elisabeth J. Rushing United States
Tadashi Yoshino Japan
Sheila Scully United States
Thomas V. McCaffrey United States
Robert Lafyatis United States
Yvonne Dombrowski Germany
Larry J. Suva United States
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Citations per field
00.5×6.1×
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Citations per year

Countries citing papers authored by Bin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 279 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genomic and transcriptomic hallmarks of poorly differentiated and anaplastic thyroid cancers
Hit paper breakdown →
2016862
2 2001402
3
Toxoplasma gondii Infection in Immunocompromised Patients: A Systematic Review and Meta-Analysis
Hit paper breakdown →
2017230
4 2020177
5 2008163
6 2016129
7 2017114
8 2013106
9 201997
10 201794
11 201992
12 201786
13 201985
14 200483
15 201981
16 201876
17 202071
18 201770
19 201769
20 201767

About Bin Xu

Bin Xu is a scholar working on Surgery, Oncology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 279 papers that have together received 7.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (57 papers), Salivary Gland Tumors Diagnosis and Treatment (44 papers), Ear and Head Tumors (28 papers), Head and Neck Cancer Studies (21 papers), BRCA gene mutations in cancer (20 papers), Oral and Maxillofacial Pathology (19 papers), Genetic factors in colorectal cancer (16 papers) and Bladder and Urothelial Cancer Treatments (16 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Otorhinolaryngology (489 citations), Oncology (1.9k citations), Developmental Neuroscience (286 citations) and Surgery (2.3k citations). Bin Xu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ronald Ghossein, Nora Katabi, Ian Ganly, Margaret Fahnestock, Snjezana Doğan, R. Michael Tuttle, Bernadeta Michalski, Michael D. Coughlin, James A. Fagin and Iñigo Landa. Their work appears in journals such as Histopathology, The American Journal of Surgical Pathology, Modern Pathology, Human Pathology and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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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