Xin Pan
Impact in
Papers in
-
- Phytochemical compounds biological activities 4
- Genetics 5
- Genetics and Neurodevelopmental Disorders 4
- Genomics and Rare Diseases 4
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Kazuo Koike (4 shared papers)Toshihiro Akihisa (4 shared papers)Masahiro Matsumoto (3 shared papers)Takashi Kikuchi (3 shared papers)Yasuhiro Nakamura (3 shared papers)Eri Ogihara (3 shared papers)Harukuni Tokuda (2 shared papers)Mark Muthiah (2 shared papers)
In The Last Decade
Xin Pan
30 papers receiving 488 citations
Peers
Comparison fields: 5 of 79
- Applied Microbiology and Biotechnology 10
- Cancer Research 48
- Molecular Biology 201
- Pharmacology 18
- Immunology and Allergy 11
Countries citing papers authored by Xin Pan
This map shows the geographic impact of Xin Pan'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 Xin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Pan more than expected).
Fields of papers citing papers by Xin Pan
This network shows the impact of papers produced by Xin Pan. 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 Xin Pan. The network helps show where Xin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Pan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 73 | |
| 2 | 2013 | 55 | |
| 3 | 2016 | 51 | |
| 4 | New advances in immunotherapy for non-small cell lung cancer. | 2018 | 46 |
| 5 | 2022 | 38 | |
| 6 | 2014 | 29 | |
| 7 | 2020 | 23 | |
| 8 | 2014 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2024 | 21 | |
| 11 | 2013 | 16 | |
| 12 | 2023 | 14 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2025 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2018 | 5 |
About Xin Pan
Xin Pan is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Epidemiology, having authored 32 papers that have together received 491 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (4 papers), Phytochemical compounds biological activities (4 papers), Genomics and Rare Diseases (4 papers), Insect Pest Control Strategies (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (10 citations), Cancer Research (48 citations), Molecular Biology (201 citations), Pharmacology (18 citations) and Immunology and Allergy (11 citations). Xin Pan has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Kazuo Koike, Toshihiro Akihisa, Masahiro Matsumoto, Takashi Kikuchi, Yasuhiro Nakamura, Eri Ogihara, Harukuni Tokuda, Mark Muthiah, Nicholas Chew and Daguang Zhang. Their work appears in journals such as Frontiers in Pediatrics, Chemistry & Biodiversity, Frontiers in Genetics, Frontiers in Plant Science and Journal of Seed Science.
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.