Lingjun Wang
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Blood groups and transfusion
-
- Management of metastatic bone disease
- Orthopaedic implants and arthroplasty
- Surgical Sutures and Adhesives
Papers in
- Hematology 14
- Platelet Disorders and Treatments 13
- Blood groups and transfusion 4
-
- Immune cells in cancer 4
- Immune Cell Function and Interaction 2
- Co-authors
- Daniel C. Allison (1 shared paper)Elke R. Ahlmann (1 shared paper)Lawrence R. Menendez (1 shared paper)Ming Hou (13 shared papers)Yu Hou (12 shared papers)Xiaofei Ni (11 shared papers)Jun Peng (8 shared papers)Xinguang Liu (3 shared papers)
- Journals
- Blood (6 papers)British Journal of Haematology (3 papers)Phytomedicine (2 papers)Clinical Orthopaedics and Related Research (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Lingjun Wang
18 papers receiving 382 citations
Peers
Comparison fields: 5 of 82
- Hematology 88
- Surgery 150
- Genetics 32
- Biochemistry 15
- Pathology and Forensic Medicine 33
Countries citing papers authored by Lingjun Wang
This map shows the geographic impact of Lingjun Wang'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 Lingjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingjun Wang more than expected).
Fields of papers citing papers by Lingjun Wang
This network shows the impact of papers produced by Lingjun Wang. 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 Lingjun Wang. The network helps show where Lingjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingjun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 135 | |
| 2 | 2021 | 65 | |
| 3 | 2018 | 50 | |
| 4 | 2022 | 26 | |
| 5 | 2024 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 12 | |
| 9 | 2018 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2009 | 7 | |
| 13 | 2022 | 5 | |
| 14 | 2025 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Lingjun Wang
Lingjun Wang is a scholar working on Hematology, Immunology, Pathology and Forensic Medicine, Genetics and Surgery, having authored 21 papers that have together received 389 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (13 papers), Blood groups and transfusion (4 papers), Autoimmune Bullous Skin Diseases (4 papers), Immune cells in cancer (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (2 papers), Cell Adhesion Molecules Research (2 papers) and Vitamin C and Antioxidants Research (1 paper). The work is most often cited by research in Hematology (88 citations), Surgery (150 citations), Genetics (32 citations), Biochemistry (15 citations) and Pathology and Forensic Medicine (33 citations). Lingjun Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Daniel C. Allison, Elke R. Ahlmann, Lawrence R. Menendez, Ming Hou, Yu Hou, Xiaofei Ni, Jun Peng, Xinguang Liu, Hai Zhou and Yan Shi. Their work appears in journals such as Blood, British Journal of Haematology, Phytomedicine, Clinical Orthopaedics and Related Research and Advanced Functional Materials.
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.