Bing Xia

664 citations
51 papers · 505 · h-index 13

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Viral-associated cancers and disorders

Papers in

Bing Xia

47 papers receiving 493 citations

Peers

Bing Xia
Comparison fields: 5 of 81
  • Hematology 89
  • Oncology 127
  • Genetics 43
  • Pathology and Forensic Medicine 70
  • Cancer Research 56
Replace Roberta R. Ruela-de-Sousa with:
Roberta R. Ruela-de-Sousa Brazil
Mark Wade United States
Namrata Rastogi India
Sarah Mackenzie United States
Lijia Chen China
Sheila Prachand United States
Haydar Çelik United States
Eui‐Kyu Noh South Korea
Youqiu Xue China
Shuangfeng Xie China
Bing Xia relative to Roberta R. Ruela-de-Sousa Brazil Roberta R. Ruela-de-Sousa's profile →
Citations per field
00.5×4.4×
Roberta R. Ruela-de-Sousa · 1×
Citations per year

Countries citing papers authored by Bing Xia

Since Specialization
Citations

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

Fields of papers citing papers by Bing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 201467
3 201727
4 201926
5 202221
6 201819
7 201518
8 202016
9 202015
10 201514
11 201514
12 201514
13 201212
14 201312
15 201112
16 202111
17 201911
18 201910
19 20128
20 20218

About Bing Xia

Bing Xia is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Pulmonary and Respiratory Medicine and Hematology, having authored 51 papers that have together received 505 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Multiple Myeloma Research and Treatments (6 papers), Viral-associated cancers and disorders (5 papers), Lung Cancer Treatments and Mutations (5 papers), Acute Myeloid Leukemia Research (4 papers), Immune Cell Function and Interaction (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Hematology (89 citations), Oncology (127 citations), Genetics (43 citations), Pathology and Forensic Medicine (70 citations) and Cancer Research (56 citations). Bing Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yizhuo Zhang, Feihua Wu, Shi Sun, Man Chen, Hanqing Zhang, Mi Zhang, Shanqi Guo, Xiaoxiong Wu, Wan-Ming Da and Chen Tian. Their work appears in journals such as Medical Oncology, Human Gene Therapy, Blood, Bioscience Reports and Food 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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