Shijun Kang
- Oncology top 1%
- Immunology top 2%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Cancer Research top 5%
- Co-authors
- Sarina A. Piha‐PaulTerrill K. McClanahanJared LuncefordJonathan D. ChengTanguy Y. SeiwertVeena ShankaranMark AyersAntoni Ribas
- Topics
- Immunotherapy and Immune Responses (6 papers)Cancer Immunotherapy and Biomarkers (4 papers)CAR-T cell therapy research (3 papers)
- Cited by
- OncologyImmunologyCancer Research
- Journals
- Journal of Clinical InvestigationBiochemical and Biophysical Research CommunicationsFEBS Letters
- Partner nations
- ChinaUnited States
In The Last Decade
Shijun Kang
22 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Oncology 2.0k
- Immunology 1.2k
- Molecular Biology 881
- Pulmonary and Respiratory Medicine 853
- Cancer Research 552
Countries citing papers authored by Shijun Kang
This map shows the geographic impact of Shijun Kang'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 Shijun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shijun Kang more than expected).
Fields of papers citing papers by Shijun Kang
This network shows the impact of papers produced by Shijun Kang. 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 Shijun Kang. The network helps show where Shijun Kang may publish in the future.
Co-authorship network of co-authors of Shijun Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Shijun Kang. A scholar is included among the top collaborators of Shijun Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shijun Kang. Shijun Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 67 | |
| 3 | 1 | |
| 4 | 31 | |
| 5 | 258 | |
| 6 | 32 | |
| 7 | 5 | |
| 8 | Small interfering RNA (siRNA)-mediated knockdown of Notch1 suppresses tumor growth and enhances the effect of IL-2 immunotherapy in malignant melanoma. | 4 |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 32 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 34 | |
| 15 | 11 | |
| 16 | 15 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | 47 | |
| 20 | [Investigation of short-term therapy results for radiofrequency ablation by positron emission tomography]. | 1 |
About Shijun Kang
Shijun Kang is a scholar working on Immunology, Oncology and Cancer Research, having authored 22 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Oncology (2.0k citations), Immunology (1.2k citations) and Cancer Research (552 citations). Shijun Kang has collaborated with scholars based in China and United States. Frequent co-authors include Sarina A. Piha‐Paul, Terrill K. McClanahan, Jared Lunceford, Jonathan D. Cheng, Tanguy Y. Seiwert, Veena Shankaran, Mark Ayers, Antoni Ribas, David R. Kaufman and Andrey Loboda. Their work appears in journals such as Journal of Clinical Investigation, Biochemical and Biophysical Research Communications and FEBS Letters.
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.