Joy Fleming
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 10%
Papers in
-
- Biochemical and Molecular Research 6
- RNA and protein synthesis mechanisms 6
- CRISPR and Genetic Engineering 3
-
- Tuberculosis Research and Epidemiology 13
- Co-authors
- Lijun Bi (25 shared papers)Xian‐En Zhang (8 shared papers)Hongtai Zhang (11 shared papers)Xuying Wang (1 shared paper)Ruifu Yang (1 shared paper)Dianbing Wang (1 shared paper)Zhiping Zhang (1 shared paper)Bo Tian (1 shared paper)
- Journals
- Scientific Reports (3 papers)The International Journal of Biochemistry & Cell Biology (2 papers)Virulence (1 paper)Cell Research (1 paper)Infection and Immunity (1 paper)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Joy Fleming
30 papers receiving 535 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 192
- Molecular Medicine 40
- Cancer Research 101
- Molecular Biology 321
- Immunology 88
Countries citing papers authored by Joy Fleming
This map shows the geographic impact of Joy Fleming'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 Joy Fleming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Fleming more than expected).
Fields of papers citing papers by Joy Fleming
This network shows the impact of papers produced by Joy Fleming. 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 Joy Fleming. The network helps show where Joy Fleming may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy Fleming, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 87 | |
| 2 | 2014 | 72 | |
| 3 | 2012 | 69 | |
| 4 | 2015 | 47 | |
| 5 | 2012 | 33 | |
| 6 | 2015 | 24 | |
| 7 | 1987 | 23 | |
| 8 | 2017 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2016 | 17 | |
| 11 | 2016 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2014 | 14 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2013 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2020 | 5 |
About Joy Fleming
Joy Fleming is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Molecular Medicine and Genetics, having authored 30 papers that have together received 540 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (8 papers), Antibiotic Resistance in Bacteria (6 papers), Biochemical and Molecular Research (6 papers), RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (4 papers), CRISPR and Genetic Engineering (3 papers) and Smoking Behavior and Cessation (2 papers). The work is most often cited by research in Infectious Diseases (192 citations), Molecular Medicine (40 citations), Cancer Research (101 citations), Molecular Biology (321 citations) and Immunology (88 citations). Joy Fleming has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Lijun Bi, Xian‐En Zhang, Hongtai Zhang, Xuying Wang, Ruifu Yang, Dianbing Wang, Zhiping Zhang, Bo Tian, Jiaoyu Deng and Chuanyou Li. Their work appears in journals such as Scientific Reports, The International Journal of Biochemistry & Cell Biology, Virulence, Cell Research and Infection and Immunity.
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.