Lingyi Deng
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Glycosylation and Glycoproteins Research 2
-
- Tuberculosis Research and Epidemiology 5
- Co-authors
- Erik C. Hett (3 shared papers)Eric J. Rubin (3 shared papers)Michael C. Chao (2 shared papers)Michaël Scherman (3 shared papers)Michael McNeil (3 shared papers)Paul Brennan (1 shared paper)Katarı́na Mikušová (1 shared paper)Michael R. Wessels (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Bacteriology (2 papers)Current Microbiology (2 papers)Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)
- Partner nations
- United States
In The Last Decade
Lingyi Deng
16 papers receiving 701 citations
Peers
Comparison fields: 5 of 61
- Molecular Medicine 108
- Infectious Diseases 330
- Epidemiology 303
- Endocrinology 38
- Biotechnology 49
Countries citing papers authored by Lingyi Deng
This map shows the geographic impact of Lingyi Deng'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 Lingyi Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyi Deng more than expected).
Fields of papers citing papers by Lingyi Deng
This network shows the impact of papers produced by Lingyi Deng. 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 Lingyi Deng. The network helps show where Lingyi Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyi Deng, 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 | 2008 | 135 | |
| 2 | 1995 | 135 | |
| 3 | 2007 | 128 | |
| 4 | 1996 | 97 | |
| 5 | 2000 | 82 | |
| 6 | 1995 | 48 | |
| 7 | 1999 | 35 | |
| 8 | 2004 | 34 | |
| 9 | 2010 | 12 | |
| 10 | 2010 | 6 | |
| 11 | 1997 | 6 | |
| 12 | 2019 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 1997 | 2 | |
| 15 | 2022 | 2 | |
| 16 | IDENTIFICATION OF NATIVE MYCOBACTERIUM SMEGMATIS CELL WALL DEGRADATIVE ENZYMES USING ELECTROPHORETIC FLUORESCENT ASSAYS | 2017 | 1 |
About Lingyi Deng
Lingyi Deng is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Organic Chemistry and Molecular Medicine, having authored 16 papers that have together received 730 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Antibiotic Resistance in Bacteria (4 papers), Neonatal and Maternal Infections (3 papers), Pneumonia and Respiratory Infections (3 papers), Glycosylation and Glycoproteins Research (2 papers), Mycobacterium research and diagnosis (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). The work is most often cited by research in Molecular Medicine (108 citations), Infectious Diseases (330 citations), Epidemiology (303 citations), Endocrinology (38 citations) and Biotechnology (49 citations). Lingyi Deng has collaborated with scholars based in United States. Frequent co-authors include Erik C. Hett, Eric J. Rubin, Michael C. Chao, Michaël Scherman, Michael McNeil, Paul Brennan, Katarı́na Mikušová, Michael R. Wessels, Adrie J. C. Steyn and Thomas P. Krick. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Current Microbiology, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Journal of Molecular and Cellular Cardiology.
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.