Bin Pan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
Papers in
-
- RNA Interference and Gene Delivery 8
- Hematology 34
- Hematopoietic Stem Cell Transplantation 24
- Co-authors
- Rose M. Johnstone (3 shared papers)Mohammed Adam (2 shared papers)Chia‐Lun Wu (1 shared paper)Katie Teng (1 shared paper)Kailin Xu (56 shared papers)Lingyu Zeng (28 shared papers)Ricky W. Johnstone (1 shared paper)Jiang Cao (18 shared papers)
- Journals
- International Immunopharmacology (5 papers)Biology of Blood and Marrow Transplantation (4 papers)Immunology Letters (3 papers)OncoTargets and Therapy (3 papers)Cell Biochemistry and Biophysics (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Pan
104 papers receiving 3.0k citations
Bin Pan's Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 734
- Hematology 351
- Immunology 608
- Molecular Biology 1.7k
- Oncology 508
Countries citing papers authored by Bin Pan
This map shows the geographic impact of Bin 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 Bin Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Pan more than expected).
Fields of papers citing papers by Bin Pan
This network shows the impact of papers produced by Bin 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 Bin Pan. The network helps show where Bin Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Electron microscopic evidence for externalization of the transferrin receptor in vesicular form in sheep reticulocytes. Hit paper breakdown → | 1985 | 1027 |
| 2 | 2018 | 132 | |
| 3 | 2014 | 121 | |
| 4 | 1983 | 81 | |
| 5 | 2003 | 68 | |
| 6 | 1984 | 68 | |
| 7 | 2019 | 68 | |
| 8 | 1984 | 62 | |
| 9 | 2016 | 60 | |
| 10 | 2015 | 55 | |
| 11 | 2017 | 49 | |
| 12 | 2013 | 45 | |
| 13 | 2024 | 41 | |
| 14 | 2014 | 40 | |
| 15 | 2015 | 37 | |
| 16 | 2021 | 33 | |
| 17 | 2019 | 31 | |
| 18 | 2002 | 31 | |
| 19 | 2014 | 30 | |
| 20 | 2023 | 30 |
About Bin Pan
Bin Pan is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Cancer Research, having authored 109 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (15 papers), CAR-T cell therapy research (9 papers), RNA Interference and Gene Delivery (8 papers), MicroRNA in disease regulation (7 papers), Nerve injury and regeneration (6 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Cancer Research (734 citations), Hematology (351 citations), Immunology (608 citations), Molecular Biology (1.7k citations) and Oncology (508 citations). Bin Pan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Rose M. Johnstone, Mohammed Adam, Chia‐Lun Wu, Katie Teng, Kailin Xu, Lingyu Zeng, Ricky W. Johnstone, Jiang Cao, Hai Cheng and R Blostein. Their work appears in journals such as International Immunopharmacology, Biology of Blood and Marrow Transplantation, Immunology Letters, OncoTargets and Therapy and Cell Biochemistry and Biophysics.
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.