Baobing Zhao
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Toxicology top 5%
Papers in
-
- Ubiquitin and proteasome pathways 7
- Cancer therapeutics and mechanisms 5
- RNA modifications and cancer 5
- Cell death mechanisms and regulation 4
- Physiology 15
- Erythrocyte Function and Pathophysiology 15
- Co-authors
- Peng Ji (15 shared papers)Jing Yang (12 shared papers)Yuemao Shen (20 shared papers)Yang Mei (10 shared papers)Yuan Li (4 shared papers)Meng Li (2 shared papers)Tao Shen (6 shared papers)Chunhua Lu (11 shared papers)
- Journals
- Blood (3 papers)European Journal of Medicinal Chemistry (3 papers)Haematologica (3 papers)Experimental Hematology (2 papers)Bioorganic Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Baobing Zhao
53 papers receiving 926 citations
Peers
Comparison fields: 5 of 84
- Hematology 127
- Toxicology 40
- Complementary and alternative medicine 81
- Genetics 96
- Cancer Research 103
Countries citing papers authored by Baobing Zhao
This map shows the geographic impact of Baobing Zhao'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 Baobing Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baobing Zhao more than expected).
Fields of papers citing papers by Baobing Zhao
This network shows the impact of papers produced by Baobing Zhao. 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 Baobing Zhao. The network helps show where Baobing Zhao may publish in the future.
Co-authors
The 25 scholars most cited alongside Baobing Zhao, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 75 | |
| 2 | 2019 | 71 | |
| 3 | 2022 | 62 | |
| 4 | 2017 | 56 | |
| 5 | 2010 | 48 | |
| 6 | 2022 | 42 | |
| 7 | 2016 | 41 | |
| 8 | 2014 | 39 | |
| 9 | 2014 | 31 | |
| 10 | 2017 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 2013 | 28 | |
| 13 | 2015 | 27 | |
| 14 | 2012 | 23 | |
| 15 | 2016 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2012 | 20 | |
| 18 | 2019 | 19 | |
| 19 | 2009 | 16 | |
| 20 | 2020 | 16 |
About Baobing Zhao
Baobing Zhao is a scholar working on Molecular Biology, Physiology, Oncology, Hematology and Cancer Research, having authored 59 papers that have together received 936 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (15 papers), Ubiquitin and proteasome pathways (7 papers), Bioactive Compounds and Antitumor Agents (6 papers), Acute Myeloid Leukemia Research (6 papers), Microbial Natural Products and Biosynthesis (6 papers), Cancer therapeutics and mechanisms (5 papers), RNA modifications and cancer (5 papers) and Cell death mechanisms and regulation (4 papers). The work is most often cited by research in Hematology (127 citations), Toxicology (40 citations), Complementary and alternative medicine (81 citations), Genetics (96 citations) and Cancer Research (103 citations). Baobing Zhao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Ji, Jing Yang, Yuemao Shen, Yang Mei, Yuan Li, Meng Li, Tao Shen, Chunhua Lu, Matthew J. Schipma and Hong‐Xiang Lou. Their work appears in journals such as Blood, European Journal of Medicinal Chemistry, Haematologica, Experimental Hematology and Bioorganic Chemistry.
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.