Bolan Linghu
Impact in
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 2
- Biomedical Text Mining and Ontologies 2
-
- 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)Mark G. Goebl (1 shared paper)Judy Callis (1 shared paper)Alexandra H. Filipovich (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Clinical Trials (1 paper)npj Digital Medicine (1 paper)Clinical Cancer Research (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Bolan Linghu
16 papers receiving 825 citations
Peers
Comparison fields: 5 of 82
- Hematology 194
- Genetics 155
- Physiology 64
- Immunology 205
- Speech and Hearing 45
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 | 184 | |
| 2 | 2019 | 144 | |
| 3 | 2014 | 136 | |
| 4 | 2010 | 91 | |
| 5 | 2020 | 68 | |
| 6 | 2007 | 52 | |
| 7 | 2002 | 40 | |
| 8 | 2017 | 27 | |
| 9 | 2021 | 25 | |
| 10 | 2019 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2008 | 18 | |
| 13 | 2009 | 10 | |
| 14 | 2012 | 6 | |
| 15 | 2019 | 4 | |
| 16 | 2024 | 1 |
About Bolan Linghu
Bolan Linghu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Computational Theory and Mathematics and Physiology, having authored 16 papers that have together received 845 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Computational Drug Discovery Methods (3 papers), Adenosine and Purinergic Signaling (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Brain Metastases and Treatment (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Hematology (194 citations), Genetics (155 citations), Physiology (64 citations), Immunology (205 citations) and Speech and Hearing (45 citations). Bolan Linghu has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Charles DeLisi, Yu Xia, Zhenjun Hu, Evan S. Snitkin, Fan Yang, Mark G. Goebl, Judy Callis, Alexandra H. Filipovich, John B. Harley and Ndate Fall. Their work appears in journals such as Journal of Clinical Oncology, Clinical Trials, npj Digital Medicine, Clinical Cancer Research and Frontiers in Immunology.
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.