Danling Gu
Impact in
- Genetics top 2%
- Virus-based gene therapy research
- Diabetes and associated disorders
-
- Diabetes Management and Research
Papers in
- Co-authors
- Nora Sarvetnick (17 shared papers)Yue Dai (1 shared paper)Wen‐Wei Zhang (1 shared paper)Inder M. Verma (1 shared paper)Edward M. Schwarz (1 shared paper)Troy Krahl (8 shared papers)Marc Arnush (6 shared papers)Myung‐Shik Lee (2 shared papers)
- Journals
- Blood (5 papers)Journal of Endocrinology (3 papers)Development (2 papers)Diabetes (2 papers)Mutagenesis (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Danling Gu
42 papers receiving 2.3k citations
Danling Gu's Hit Papers
Peers
Comparison fields: 5 of 89
- Genetics 1.0k
- Endocrinology, Diabetes and Metabolism 370
- Surgery 859
- Oncology 471
- Molecular Biology 1.0k
Countries citing papers authored by Danling Gu
This map shows the geographic impact of Danling Gu'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 Danling Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danling Gu more than expected).
Fields of papers citing papers by Danling Gu
This network shows the impact of papers produced by Danling Gu. 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 Danling Gu. The network helps show where Danling Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danling Gu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cellular and humoral immune responses to adenoviral vectors containing factor IX gene: tolerization of factor IX and vector antigens allows for long-term expression. Hit paper breakdown → | 1995 | 535 |
| 2 | 1993 | 279 | |
| 3 | 2011 | 146 | |
| 4 | Accumulation of extracellular matrix and developmental dysregulation in the pancreas by transgenic production of transforming growth factor-beta 1. | 1995 | 138 |
| 5 | 1994 | 121 | |
| 6 | 1995 | 120 | |
| 7 | 1999 | 113 | |
| 8 | 2001 | 88 | |
| 9 | 2000 | 78 | |
| 10 | 2004 | 73 | |
| 11 | 2021 | 71 | |
| 12 | 1997 | 62 | |
| 13 | 2000 | 56 | |
| 14 | 2000 | 54 | |
| 15 | 1999 | 54 | |
| 16 | 1997 | 46 | |
| 17 | Growth factors in the regenerating pancreas of gamma-interferon transgenic mice. | 1996 | 35 |
| 18 | 2010 | 29 | |
| 19 | 2014 | 27 | |
| 20 | 1995 | 24 |
About Danling Gu
Danling Gu is a scholar working on Genetics, Surgery, Molecular Biology, Immunology and Genetics, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (11 papers), Chronic Lymphocytic Leukemia Research (6 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Virus-based gene therapy research (4 papers), Diabetes Management and Research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (1.0k citations), Endocrinology, Diabetes and Metabolism (370 citations), Surgery (859 citations), Oncology (471 citations) and Molecular Biology (1.0k citations). Danling Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nora Sarvetnick, Yue Dai, Wen‐Wei Zhang, Inder M. Verma, Edward M. Schwarz, Troy Krahl, Marc Arnush, Myung‐Shik Lee, Howard S. Fox and Glenn F. Pierce. Their work appears in journals such as Blood, Journal of Endocrinology, Development, Diabetes and Mutagenesis.
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.