Honghao Bi
Impact in
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 4
- Extracellular vesicles in disease 3
- Single-cell and spatial transcriptomics 2
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 2
- DNA and Nucleic Acid Chemistry 2
- Co-authors
- Bing Yang (4 shared papers)Michael Fromm (1 shared paper)Huanbin Zhou (1 shared paper)Donald P. Weeks (1 shared paper)Norman J. Haughey (3 shared papers)Robert N. Cole (1 shared paper)Amrita Datta Chaudhuri (1 shared paper)Lauren DeVine (1 shared paper)
- Journals
- Blood (4 papers)Journal of Clinical Investigation (2 papers)Nature Communications (1 paper)iScience (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Honghao Bi
20 papers receiving 1.2k citations
Honghao Bi's Hit Papers
Peers
Comparison fields: 5 of 86
- Business and International Management 66
- Aging 36
- Plant Science 578
- Molecular Biology 985
- Insect Science 117
Countries citing papers authored by Honghao Bi
This map shows the geographic impact of Honghao Bi'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 Honghao Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghao Bi more than expected).
Fields of papers citing papers by Honghao Bi
This network shows the impact of papers produced by Honghao Bi. 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 Honghao Bi. The network helps show where Honghao Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Honghao Bi, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Demonstration of CRISPR/Cas9/sgRNA-mediated targeted gene modification in Arabidopsis, tobacco, sorghum and rice Hit paper breakdown → | 2013 | 855 |
| 2 | 2019 | 105 | |
| 3 | 2019 | 58 | |
| 4 | 2019 | 45 | |
| 5 | 2011 | 24 | |
| 6 | 2011 | 24 | |
| 7 | 2017 | 21 | |
| 8 | 2024 | 20 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Honghao Bi
Honghao Bi is a scholar working on Molecular Biology, Hematology, Genetics, Pulmonary and Respiratory Medicine and Rheumatology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Extracellular vesicles in disease (3 papers), Single-cell and spatial transcriptomics (2 papers), RNA Research and Splicing (2 papers), Epigenetics and DNA Methylation (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Business and International Management (66 citations), Aging (36 citations), Plant Science (578 citations), Molecular Biology (985 citations) and Insect Science (117 citations). Honghao Bi has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Bing Yang, Michael Fromm, Huanbin Zhou, Donald P. Weeks, Norman J. Haughey, Robert N. Cole, Amrita Datta Chaudhuri, Lauren DeVine, Suming Chen and Alex M. Dickens. Their work appears in journals such as Blood, Journal of Clinical Investigation, Nature Communications, iScience and Blood Advances.
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.