Christine Tedijanto
- Modeling and Simulation top 0.2%
- Infectious Diseases top 2%
- Economics and Econometrics top 5%
- Epidemiology top 10%
- Clinical Psychology top 5%
- Co-authors
- Marc LipsitchYonatan H. GradEdward GoldsteinStephen M. KisslerScott W. OlesenJoseph A. LewnardBenjamin J. CowlingSam P. Brown
- Topics
- Antibiotic Use and Resistance (4 papers)Bacterial Identification and Susceptibility Testing (3 papers)Global Maternal and Child Health (3 papers)
- Partner nations
- United StatesEthiopiaUnited Kingdom
In The Last Decade
Christine Tedijanto
13 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Modeling and Simulation 811
- Infectious Diseases 766
- Economics and Econometrics 316
- Epidemiology 293
- Clinical Psychology 253
Countries citing papers authored by Christine Tedijanto
This map shows the geographic impact of Christine Tedijanto'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 Christine Tedijanto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Tedijanto more than expected).
Fields of papers citing papers by Christine Tedijanto
This network shows the impact of papers produced by Christine Tedijanto. 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 Christine Tedijanto. The network helps show where Christine Tedijanto may publish in the future.
Co-authorship network of co-authors of Christine Tedijanto
This figure shows the co-authorship network connecting the top 25 collaborators of Christine Tedijanto. A scholar is included among the top collaborators of Christine Tedijanto 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 Christine Tedijanto. Christine Tedijanto 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 | 2 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic periodbreakdown → | 1642 |
| 9 | 11 | |
| 10 | 32 | |
| 11 | 127 | |
| 12 | 72 | |
| 13 | 26 |
About Christine Tedijanto
Christine Tedijanto is a scholar working on Applied Microbiology and Biotechnology, Microbiology and Clinical Biochemistry, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Global Maternal and Child Health (3 papers). The work is most often cited by research in Modeling and Simulation (811 citations), Infectious Diseases (766 citations) and Applied Microbiology and Biotechnology (56 citations). Christine Tedijanto has collaborated with scholars based in United States, Ethiopia and United Kingdom. Frequent co-authors include Marc Lipsitch, Yonatan H. Grad, Edward Goldstein, Stephen M. Kissler, Scott W. Olesen, Joseph A. Lewnard, Benjamin J. Cowling, Sam P. Brown, David McAdams and Frank Cobelens. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.