Yiguo Hu
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 51
- Multiple Myeloma Research and Treatments 26
- Chronic Myeloid Leukemia Treatments 22
- Genetics 16
- Chronic Lymphocytic Leukemia Research 13
- Co-authors
- Shaoguang Li (19 shared papers)Cong Peng (8 shared papers)Kenneth Carl Anderson (22 shared papers)Paul Gerard Guy Richardson (9 shared papers)Richard A. Van Etten (3 shared papers)Yu‐Tzu Tai (12 shared papers)Yaoyu Chen (6 shared papers)Haojian Zhang (4 shared papers)
- Journals
- Blood (36 papers)Leukemia (5 papers)Nature Genetics (4 papers)Nature Communications (4 papers)Clinical Cancer Research (3 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Yiguo Hu
105 papers receiving 5.1k citations
Yiguo Hu's Hit Papers
Peers
Comparison fields: 5 of 130
- Hematology 1.7k
- Genetics 919
- Oncology 1.1k
- Cell Biology 616
- Molecular Biology 2.5k
Countries citing papers authored by Yiguo Hu
This map shows the geographic impact of Yiguo Hu'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 Yiguo Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiguo Hu more than expected).
Fields of papers citing papers by Yiguo Hu
This network shows the impact of papers produced by Yiguo Hu. 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 Yiguo Hu. The network helps show where Yiguo Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiguo Hu, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment Hit paper breakdown → | 2022 | 386 |
| 2 | SARS-CoV-2 M pro inhibitors with antiviral activity in a transgenic mouse model Hit paper breakdown → | 2021 | 370 |
| 3 | 2012 | 362 | |
| 4 | 2004 | 343 | |
| 5 | 2013 | 274 | |
| 6 | 2009 | 259 | |
| 7 | 2010 | 251 | |
| 8 | 2006 | 233 | |
| 9 | 2006 | 197 | |
| 10 | 2010 | 194 | |
| 11 | 2008 | 156 | |
| 12 | 2012 | 146 | |
| 13 | 2013 | 140 | |
| 14 | 2021 | 128 | |
| 15 | 2007 | 127 | |
| 16 | 2021 | 101 | |
| 17 | 2021 | 88 | |
| 18 | 2009 | 86 | |
| 19 | 2020 | 80 | |
| 20 | 2015 | 77 |
About Yiguo Hu
Yiguo Hu is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Oncology, having authored 113 papers that have together received 5.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Chronic Myeloid Leukemia Treatments (22 papers), Protein Degradation and Inhibitors (20 papers), Chronic Lymphocytic Leukemia Research (13 papers), Histone Deacetylase Inhibitors Research (12 papers), Ubiquitin and proteasome pathways (11 papers), Eosinophilic Disorders and Syndromes (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (919 citations), Oncology (1.1k citations), Cell Biology (616 citations) and Molecular Biology (2.5k citations). Yiguo Hu has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Shaoguang Li, Cong Peng, Kenneth Carl Anderson, Paul Gerard Guy Richardson, Richard A. Van Etten, Yu‐Tzu Tai, Yaoyu Chen, Haojian Zhang, Yukun Chen and Nikhil C. Munshi. Their work appears in journals such as Blood, Leukemia, Nature Genetics, Nature Communications and Clinical Cancer Research.
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.