Guo Ding
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Cell Biology top 10%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Angiogenesis and VEGF in Cancer 2
- Lipid Membrane Structure and Behavior 2
- Sphingolipid Metabolism and Signaling 2
- Epigenetics and DNA Methylation 1
- Oncology 4
- Lymphatic System and Diseases 3
- Co-authors
- Hirofumi Sonoda (2 shared papers)Shun‐ichi Nakamura (2 shared papers)Taro Okada (2 shared papers)Saleem Jahangeer (2 shared papers)Masanori Hirashima (4 shared papers)Taketoshi Kajimoto (2 shared papers)Osamu Inoue (3 shared papers)Yukio Ozaki (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Cancer Research and Treatment (1 paper)Experimental Hematology (1 paper)Blood (1 paper)Developmental Dynamics (1 paper)
- Partner nations
- JapanSouth KoreaChina
In The Last Decade
Guo Ding
13 papers receiving 739 citations
Peers
Comparison fields: 5 of 68
- Hematology 136
- Cell Biology 169
- Oncology 204
- Immunology and Allergy 42
- Immunology 133
Countries citing papers authored by Guo Ding
This map shows the geographic impact of Guo Ding'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 Guo Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Ding more than expected).
Fields of papers citing papers by Guo Ding
This network shows the impact of papers produced by Guo Ding. 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 Guo Ding. The network helps show where Guo Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 210 | |
| 2 | 2005 | 145 | |
| 3 | 2012 | 134 | |
| 4 | 2007 | 125 | |
| 5 | 2010 | 43 | |
| 6 | 2013 | 34 | |
| 7 | 2006 | 21 | |
| 8 | 2013 | 16 | |
| 9 | 2019 | 8 | |
| 10 | 2013 | 5 | |
| 11 | 2013 | 4 | |
| 12 | 2005 | 2 | |
| 13 | 2010 | 1 |
About Guo Ding
Guo Ding is a scholar working on Molecular Biology, Oncology, Cell Biology, Hematology and Nephrology, having authored 13 papers that have together received 748 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (3 papers), Zebrafish Biomedical Research Applications (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Lipid Membrane Structure and Behavior (2 papers), Platelet Disorders and Treatments (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Acute Myeloid Leukemia Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Hematology (136 citations), Cell Biology (169 citations), Oncology (204 citations), Immunology and Allergy (42 citations) and Immunology (133 citations). Guo Ding has collaborated with scholars based in Japan, South Korea and China. Frequent co-authors include Hirofumi Sonoda, Shun‐ichi Nakamura, Taro Okada, Saleem Jahangeer, Masanori Hirashima, Taketoshi Kajimoto, Osamu Inoue, Yukio Ozaki, Katsue Suzuki‐Inoue and Yutaka Yatomi. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Treatment, Experimental Hematology, Blood and Developmental Dynamics.
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.