Lanbo Shi
Impact in
- Infectious Diseases top 1%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 18
- Epidemiology 13
- Mycobacterium research and diagnosis 11
- Pneumonia and Respiratory Infections 2
- Co-authors
- Maria Laura Gennaro (12 shared papers)R J North (5 shared papers)Sanjay Tyagi (7 shared papers)Charles D. Sohaskey (5 shared papers)Selvakumar Subbian (7 shared papers)Eliseo A. Eugenín (2 shared papers)Richard Pine (3 shared papers)Qingkui Jiang (8 shared papers)
- Journals
- Frontiers in Immunology (3 papers)Tuberculosis (2 papers)mBio (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell & Bioscience (2 papers)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Lanbo Shi
35 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 113
- Infectious Diseases 1.1k
- Molecular Medicine 156
- Epidemiology 711
- Immunology 360
- Molecular Biology 873
Countries citing papers authored by Lanbo Shi
This map shows the geographic impact of Lanbo Shi'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 Lanbo Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanbo Shi more than expected).
Fields of papers citing papers by Lanbo Shi
This network shows the impact of papers produced by Lanbo Shi. 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 Lanbo Shi. The network helps show where Lanbo Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanbo Shi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 252 | |
| 2 | 2002 | 215 | |
| 3 | 2015 | 179 | |
| 4 | 2002 | 128 | |
| 5 | 2019 | 124 | |
| 6 | 2010 | 112 | |
| 7 | 2008 | 102 | |
| 8 | 2005 | 93 | |
| 9 | 1994 | 89 | |
| 10 | 2014 | 85 | |
| 11 | 2016 | 75 | |
| 12 | 2000 | 69 | |
| 13 | 2004 | 69 | |
| 14 | 2019 | 68 | |
| 15 | 2022 | 56 | |
| 16 | 1995 | 44 | |
| 17 | 2016 | 38 | |
| 18 | 2016 | 36 | |
| 19 | 1996 | 36 | |
| 20 | 2021 | 33 |
About Lanbo Shi
Lanbo Shi is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Surgery, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (11 papers), Ion Transport and Channel Regulation (5 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (4 papers), Antibiotic Resistance in Bacteria (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Molecular Medicine (156 citations), Epidemiology (711 citations), Immunology (360 citations) and Molecular Biology (873 citations). Lanbo Shi has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Maria Laura Gennaro, R J North, Sanjay Tyagi, Charles D. Sohaskey, Selvakumar Subbian, Eliseo A. Eugenín, Richard Pine, Qingkui Jiang, Yu‐Jin Jung and William R. Skach. Their work appears in journals such as Frontiers in Immunology, Tuberculosis, mBio, Proceedings of the National Academy of Sciences and Cell & Bioscience.
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.