Xiaoling Puyang
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Genomics and Phylogenetic Studies 2
- Biochemical and Molecular Research 2
-
- Mycobacterium research and diagnosis 3
- Co-authors
- Robert N. Husson (4 shared papers)Sahadevan Raman (2 shared papers)Taeksun Song (1 shared paper)William R. Jacobs (1 shared paper)Stoyan Bardarov (1 shared paper)Sumeet Garg (2 shared papers)Norvin D. Fernandes (2 shared papers)Dequan Kong (2 shared papers)
- Journals
- Journal of Bacteriology (4 papers)Antimicrobial Agents and Chemotherapy (3 papers)European Journal of Cancer (1 paper)Analytical Chemistry (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Xiaoling Puyang
13 papers receiving 568 citations
Peers
Comparison fields: 5 of 60
- Molecular Medicine 82
- Infectious Diseases 289
- Epidemiology 273
- Hepatology 43
- Molecular Biology 277
Countries citing papers authored by Xiaoling Puyang
This map shows the geographic impact of Xiaoling Puyang'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 Xiaoling Puyang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Puyang more than expected).
Fields of papers citing papers by Xiaoling Puyang
This network shows the impact of papers produced by Xiaoling Puyang. 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 Xiaoling Puyang. The network helps show where Xiaoling Puyang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Puyang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 228 | |
| 2 | 1999 | 87 | |
| 3 | 2006 | 63 | |
| 4 | 2010 | 63 | |
| 5 | 2005 | 35 | |
| 6 | 2001 | 29 | |
| 7 | 1999 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2007 | 15 | |
| 10 | 2007 | 10 | |
| 11 | 1999 | 4 | |
| 12 | 2015 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2017 | 0 |
About Xiaoling Puyang
Xiaoling Puyang is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Oncology, having authored 14 papers that have together received 573 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Bacterial Infections and Vaccines (2 papers), Peptidase Inhibition and Analysis (2 papers), Genomics and Phylogenetic Studies (2 papers), Biochemical and Molecular Research (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (82 citations), Infectious Diseases (289 citations), Epidemiology (273 citations), Hepatology (43 citations) and Molecular Biology (277 citations). Xiaoling Puyang has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Robert N. Husson, Sahadevan Raman, Taeksun Song, William R. Jacobs, Stoyan Bardarov, Sumeet Garg, Norvin D. Fernandes, Dequan Kong, Qilong Wu and David C. Young. Their work appears in journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy, European Journal of Cancer, Analytical Chemistry and PROTEOMICS.
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.