Bolan Linghu
Impact in
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 2
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- Brain Metastases and Treatment 2
- Co-authors
- Charles DeLisi (4 shared papers)Yu Xia (4 shared papers)Zhenjun Hu (2 shared papers)Evan S. Snitkin (2 shared papers)Fan Yang (2 shared papers)Judy Callis (1 shared paper)Mark G. Goebl (1 shared paper)Ndate Fall (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)npj Digital Medicine (1 paper)Arthritis & Rheumatology (1 paper)Eukaryotic Cell (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Bolan Linghu
16 papers receiving 833 citations
Peers
Comparison fields: 5 of 77
- Hematology 178
- Genetics 153
- Physiology 64
- Immunology 180
- Pathology and Forensic Medicine 102
Countries citing papers authored by Bolan Linghu
This map shows the geographic impact of Bolan Linghu'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 Bolan Linghu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bolan Linghu more than expected).
Fields of papers citing papers by Bolan Linghu
This network shows the impact of papers produced by Bolan Linghu. 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 Bolan Linghu. The network helps show where Bolan Linghu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bolan Linghu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 183 | |
| 2 | 2019 | 146 | |
| 3 | 2014 | 137 | |
| 4 | 2010 | 91 | |
| 5 | 2020 | 69 | |
| 6 | 2007 | 52 | |
| 7 | 2002 | 40 | |
| 8 | 2017 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2019 | 20 | |
| 11 | 2020 | 20 | |
| 12 | 2008 | 18 | |
| 13 | 2009 | 10 | |
| 14 | 2012 | 6 | |
| 15 | 2019 | 4 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Bolan Linghu
Bolan Linghu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Computational Theory and Mathematics, having authored 17 papers that have together received 852 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Adenosine and Purinergic Signaling (3 papers), Computational Drug Discovery Methods (3 papers), Gene expression and cancer classification (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Hematology (178 citations), Genetics (153 citations), Physiology (64 citations), Immunology (180 citations) and Pathology and Forensic Medicine (102 citations). Bolan Linghu has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Charles DeLisi, Yu Xia, Zhenjun Hu, Evan S. Snitkin, Fan Yang, Judy Callis, Mark G. Goebl, Ndate Fall, Kejian Zhang and Alexandra H. Filipovich. Their work appears in journals such as Journal of Clinical Oncology, npj Digital Medicine, Arthritis & Rheumatology, Eukaryotic Cell and Genome biology.
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.