Philana Ling Lin
- Infectious Diseases top 0.1%
- Epidemiology top 0.2%
- Immunology top 1%
- Surgery top 1%
- Molecular Biology top 5%
- Co-authors
- JoAnne L. FlynnEdwin KleinAmy MyersJohn ChanJoshua T. MattilaSarah M. FortuneCarl R. FuhrmanPauline Maiello
- Topics
- Tuberculosis Research and Epidemiology (71 papers)Mycobacterium research and diagnosis (48 papers)Infectious Diseases and Tuberculosis (32 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United StatesDenmarkSouth Africa
In The Last Decade
Philana Ling Lin
101 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Infectious Diseases 5.4k
- Epidemiology 4.5k
- Immunology 2.1k
- Surgery 1.9k
- Molecular Biology 1.3k
Countries citing papers authored by Philana Ling Lin
This map shows the geographic impact of Philana Ling Lin'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 Philana Ling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philana Ling Lin more than expected).
Fields of papers citing papers by Philana Ling Lin
This network shows the impact of papers produced by Philana Ling Lin. 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 Philana Ling Lin. The network helps show where Philana Ling Lin may publish in the future.
Co-authorship network of co-authors of Philana Ling Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Philana Ling Lin. A scholar is included among the top collaborators of Philana Ling Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philana Ling Lin. Philana Ling Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 12 | |
| 8 | 28 | |
| 9 | 46 | |
| 10 | 42 | |
| 11 | 23 | |
| 12 | 22 | |
| 13 | 28 | |
| 14 | 12 | |
| 15 | 216 | |
| 16 | 2 | |
| 17 | Sterilization of granulomas is common in active and latent tuberculosis despite within-host variability in bacterial killingbreakdown → | 374 |
| 18 | 105 | |
| 19 | 289 | |
| 20 | 114 |
About Philana Ling Lin
Philana Ling Lin is a scholar working on Infectious Diseases, Epidemiology and Immunology, having authored 108 papers that have together received 7.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (71 papers), Mycobacterium research and diagnosis (48 papers) and Infectious Diseases and Tuberculosis (32 papers). The work is most often cited by research in Infectious Diseases (5.4k citations), Epidemiology (4.5k citations) and Immunology (2.1k citations). Philana Ling Lin has collaborated with scholars based in United States, Denmark and South Africa. Frequent co-authors include JoAnne L. Flynn, Edwin Klein, Amy Myers, John Chan, Joshua T. Mattila, Sarah M. Fortune, Carl R. Fuhrman, Pauline Maiello, Hannah P. Gideon and Saverio Capuano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.