Xiaoman Bi
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
-
- Photochemistry and Electron Transfer Studies
Papers in
-
- RNA modifications and cancer 5
- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Circular RNAs in diseases 2
-
- Cancer-related molecular mechanisms research 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- Yi Pang (7 shared papers)Lucas McDonald (4 shared papers)Bin Liu (4 shared papers)Lei Wang (3 shared papers)Farai Gombedza (1 shared paper)Dipendra Dahal (1 shared paper)Sailaja Paruchuri (1 shared paper)Michael Konopka (1 shared paper)
- Journals
- Sensors and Actuators B Chemical (3 papers)BioMed Research International (2 papers)Aging Cell (2 papers)Cancer Medicine (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoman Bi
27 papers receiving 682 citations
Peers
Comparison fields: 5 of 91
- Biochemistry 118
- Physical and Theoretical Chemistry 122
- Spectroscopy 205
- Biophysics 31
- Materials Chemistry 231
Countries citing papers authored by Xiaoman Bi
This map shows the geographic impact of Xiaoman 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 Xiaoman Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoman Bi more than expected).
Fields of papers citing papers by Xiaoman Bi
This network shows the impact of papers produced by Xiaoman 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 Xiaoman Bi. The network helps show where Xiaoman Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoman 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2016 | 111 | |
| 3 | 2017 | 70 | |
| 4 | 2016 | 64 | |
| 5 | 2015 | 54 | |
| 6 | 2016 | 46 | |
| 7 | 2015 | 31 | |
| 8 | 2014 | 24 | |
| 9 | 2016 | 22 | |
| 10 | 2024 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2014 | 7 | |
| 16 | 2020 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2014 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2014 | 4 |
About Xiaoman Bi
Xiaoman Bi is a scholar working on Molecular Biology, Cancer Research, Spectroscopy, Materials Chemistry and Genetics, having authored 28 papers that have together received 685 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (5 papers), RNA modifications and cancer (5 papers), Luminescence and Fluorescent Materials (4 papers), Bioinformatics and Genomic Networks (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Biochemistry (118 citations), Physical and Theoretical Chemistry (122 citations), Spectroscopy (205 citations), Biophysics (31 citations) and Materials Chemistry (231 citations). Xiaoman Bi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yi Pang, Lucas McDonald, Bin Liu, Lei Wang, Farai Gombedza, Dipendra Dahal, Sailaja Paruchuri, Michael Konopka, Chathura S. Abeywickrama and Danqing Liu. Their work appears in journals such as Sensors and Actuators B Chemical, BioMed Research International, Aging Cell, Cancer Medicine and Scientific Reports.
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.