Xin Ge
Impact in
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
-
- Protease and Inhibitor Mechanisms 18
-
- Monoclonal and Polyclonal Antibodies Research 20
- Co-authors
- Dong Hyun Nam (13 shared papers)Carlos D. M. Filipe (5 shared papers)John Papaconstantinou (3 shared papers)Ashok Mulchandani (5 shared papers)Andrew D. Ellington (3 shared papers)George N. Georgiou (3 shared papers)Hai Long Xu (4 shared papers)Jian Ren Lu (4 shared papers)
- Journals
- Biotechnology and Bioengineering (8 papers)Chemistry of Materials (4 papers)Journal of Biological Chemistry (3 papers)Medicine (3 papers)Biochemistry (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xin Ge
106 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 157
- Biomaterials 284
- Cancer Research 268
- Radiology, Nuclear Medicine and Imaging 414
- Molecular Biology 1.2k
- Immunology 290
Countries citing papers authored by Xin Ge
This map shows the geographic impact of Xin Ge'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 Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Ge more than expected).
Fields of papers citing papers by Xin Ge
This network shows the impact of papers produced by Xin Ge. 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 Ge. The network helps show where Xin Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Ge, 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 | 2010 | 233 | |
| 2 | 2010 | 112 | |
| 3 | 1993 | 102 | |
| 4 | 2005 | 91 | |
| 5 | 2023 | 80 | |
| 6 | 2020 | 75 | |
| 7 | 2019 | 70 | |
| 8 | 2016 | 66 | |
| 9 | 2011 | 63 | |
| 10 | 2012 | 62 | |
| 11 | 1991 | 60 | |
| 12 | 2021 | 51 | |
| 13 | 2009 | 49 | |
| 14 | 2019 | 46 | |
| 15 | 1991 | 46 | |
| 16 | 2019 | 45 | |
| 17 | 2006 | 38 | |
| 18 | 2014 | 38 | |
| 19 | 2016 | 37 | |
| 20 | 2019 | 36 |
About Xin Ge
Xin Ge is a scholar working on Cancer Research, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Immunology, having authored 109 papers that have together received 2.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (20 papers), Protease and Inhibitor Mechanisms (18 papers), Peptidase Inhibition and Analysis (16 papers), Protein purification and stability (8 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Microbial metabolism and enzyme function (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Geomagnetism and Paleomagnetism Studies (5 papers). The work is most often cited by research in Biomaterials (284 citations), Cancer Research (268 citations), Radiology, Nuclear Medicine and Imaging (414 citations), Molecular Biology (1.2k citations) and Immunology (290 citations). Xin Ge has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dong Hyun Nam, Carlos D. M. Filipe, John Papaconstantinou, Ashok Mulchandani, Andrew D. Ellington, George N. Georgiou, Hai Long Xu, Jian Ren Lu, Kimberly Trabbic-Carlson and Ashutosh Chilkoti. Their work appears in journals such as Biotechnology and Bioengineering, Chemistry of Materials, Journal of Biological Chemistry, Medicine and Biochemistry.
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.