Danling Gu

3.6k citations
46 papers · 3k · h-index 24

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Glioma Diagnosis and Treatment 10
    • Chronic Lymphocytic Leukemia Research 4
    • Virus-based gene therapy research 4
    • Diabetes and associated disorders 2
    • Pancreatic function and diabetes 14

Danling Gu

44 papers receiving 2.8k citations

Peers

Danling Gu
Comparison fields: 5 of 79
  • Genetics 216
  • Genetics 622
  • Oncology 438
  • Immunology 377
  • Surgery 777
Replace Shohta Kodama with:
Shohta Kodama Japan
Bernard Vanhove France
Howard D. J. Edington United States
Pascal Chaubert Switzerland
Takahiro Ochiya Japan
Masaki Nagaya Japan
Patricia E. de Almeida United States
Laurie Pukac United States
Su Zhou United States
Katri Pajusola Finland
Danling Gu relative to Shohta Kodama Japan Shohta Kodama's profile →
Citations per field
00.5×2×3×3.6×
Shohta Kodama · 1×
Citations per year

Countries citing papers authored by Danling Gu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Danling Gu Line = papers co-authored together Danling Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995529
2 2011357
3 1993280
4 2011155
5
Accumulation of extracellular matrix and developmental dysregulation in the pancreas by transgenic production of transforming growth factor-beta 1.
1995141
6 1994121
7 1995119
8 1999114
9 202289
10 200187
11 200078
12 202177
13 200474
14 199761
15 200054
16 200054
17 199953
18 199746
19 202343
20 202338

About Danling Gu

Danling Gu is a scholar working on Genetics, Surgery, Rehabilitation, Oncology and Genetics, having authored 46 papers that have together received 3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Glioma Diagnosis and Treatment (10 papers), Cancer Immunotherapy and Biomarkers (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Wound Healing and Treatments (4 papers), Virus-based gene therapy research (4 papers), T-cell and B-cell Immunology (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Genetics (216 citations), Genetics (622 citations), Oncology (438 citations), Immunology (377 citations) and Surgery (777 citations). Danling Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nora Sarvetnick, Yue Dai, Edward Schwarz, Wen‐Wei Zhang, Inder M. Verma, Troy Krahl, Marc Arnush, Myung‐Shik Lee, Howard S. Fox and Glenn F. Pierce. Their work appears in journals such as Journal of Endocrinology, Molecular Therapy, Cancer Cell, Nature Communications and Development.

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.

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