Christine Tedijanto

4.8k total citations · 1 hit paper
13 papers, 1.9k citations indexed

About

Christine Tedijanto is a scholar working on Epidemiology, Infectious Diseases and Applied Microbiology and Biotechnology. According to data from OpenAlex, Christine Tedijanto has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in Applied Microbiology and Biotechnology. Recurrent topics in Christine Tedijanto's work include Antibiotic Use and Resistance (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Global Maternal and Child Health (3 papers). Christine Tedijanto is often cited by papers focused on Antibiotic Use and Resistance (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Global Maternal and Child Health (3 papers). Christine Tedijanto collaborates with scholars based in United States, Ethiopia and United Kingdom. Christine Tedijanto's co-authors include Marc Lipsitch, Yonatan H. Grad, Stephen M. Kissler, Edward Goldstein, Scott W. Olesen, Joseph A. Lewnard, Benjamin J. Cowling, David McAdams, Sam P. Brown and Robin Wood and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Christine Tedijanto

13 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period

2020 1.6k citations Stephen M. Kissler, Christine Tedijanto et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Christine Tedijanto United States	7	811	766	316	293	253	13	1.9k
Sukhyun Ryu South Korea	22	702 0.9×	578 0.8×	295 0.9×	412 1.4×	306 1.2×	77	1.8k
Alberto Alexander Gayle Japan	5	1.0k 1.2×	971 1.3×	455 1.4×	201 0.7×	257 1.0×	9	2.1k
Affan Shoukat Canada	16	885 1.1×	832 1.1×	302 1.0×	336 1.1×	159 0.6×	31	1.8k
Chad R. Wells United States	18	865 1.1×	751 1.0×	288 0.9×	254 0.9×	142 0.6×	36	1.7k
Juliette Paireau France	17	853 1.1×	1.1k 1.4×	242 0.8×	485 1.7×	204 0.8×	46	2.1k
Alexander E. Zarebski Australia	12	901 1.1×	1.0k 1.3×	279 0.9×	305 1.0×	179 0.7×	21	1.9k
Ruian Ke United States	21	815 1.0×	1.2k 1.5×	218 0.7×	393 1.3×	142 0.6×	55	2.3k
Abhishek Pandey United States	22	1.1k 1.3×	1.0k 1.3×	322 1.0×	396 1.4×	173 0.7×	62	2.3k
Natalie M. Linton Japan	11	1.4k 1.7×	892 1.2×	563 1.8×	323 1.1×	206 0.8×	28	2.1k
Sheikh Taslim Ali Hong Kong	21	1.3k 1.6×	890 1.2×	381 1.2×	633 2.2×	323 1.3×	46	2.1k

Countries citing papers authored by Christine Tedijanto

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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13 of 13 papers shown

Arnold, Benjamin F., Christine Tedijanto, Sammy M. Njenga, et al.. (2024). Geographic pair matching in large-scale cluster randomized trials. Nature Communications. 15(1). 1069–1069. 2 indexed citations

Tedijanto, Christine, et al.. (2024). Carriage of antimicrobial-resistant Enterobacterales among pregnant women and newborns in Amhara, Ethiopia. International Journal of Infectious Diseases. 143. 107035–107035. 2 indexed citations

Tedijanto, Christine, Solomon Aragie, Sarah Gwyn, et al.. (2023). Seroreversion to Chlamydia trachomatis Pgp3 Antigen Among Children in a Hyperendemic Region of Amhara, Ethiopia. The Journal of Infectious Diseases. 230(2). 293–297. 1 indexed citations

Bekele, Delayehu, et al.. (2022). Impact of the COVID-19 pandemic on utilisation of facility-based essential maternal and child health services from March to August 2020 compared with pre-pandemic March–August 2019: a mixed-methods study in North Shewa Zone, Ethiopia. BMJ Open. 12(6). e059408–e059408. 19 indexed citations

Tedijanto, Christine, Solomon Aragie, Zerihun Tadesse, et al.. (2022). Predicting future community-level ocular Chlamydia trachomatis infection prevalence using serological, clinical, molecular, and geospatial data. PLoS neglected tropical diseases. 16(3). e0010273–e0010273. 2 indexed citations

Blumberg, Seth, Joaquín M. Prada, Christine Tedijanto, et al.. (2021). Forecasting Trachoma Control and Identifying Transmission-Hotspots. Clinical Infectious Diseases. 72(Supplement_3). S134–S139. 1 indexed citations

Tedijanto, Christine, et al.. (2021). Antibiotic Use and Presumptive Pathogens in the Veterans Affairs Healthcare System. Clinical Infectious Diseases. 74(1). 105–112. 2 indexed citations

Kissler, Stephen M., Christine Tedijanto, Edward Goldstein, Yonatan H. Grad, & Marc Lipsitch. (2020). Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science. 368(6493). 860–868. 1642 indexed citations breakdown →

Tedijanto, Christine, Yonatan H. Grad, & Marc Lipsitch. (2020). Potential impact of outpatient stewardship interventions on antibiotic exposures of common bacterial pathogens. eLife. 9. 11 indexed citations

10.

McAdams, David, et al.. (2019). Resistance diagnostics as a public health tool to combat antibiotic resistance: A model-based evaluation. PLoS Biology. 17(5). e3000250–e3000250. 32 indexed citations

11.

Tedijanto, Christine, Scott W. Olesen, Yonatan H. Grad, & Marc Lipsitch. (2018). Estimating the proportion of bystander selection for antibiotic resistance among potentially pathogenic bacterial flora. Proceedings of the National Academy of Sciences. 115(51). E11988–E11995. 127 indexed citations

12.

Lewnard, Joseph A., Christine Tedijanto, Benjamin J. Cowling, & Marc Lipsitch. (2018). Measurement of Vaccine Direct Effects Under the Test-Negative Design. American Journal of Epidemiology. 187(12). 2686–2697. 72 indexed citations

13.

Tedijanto, Christine, Sabine Hermans, Frank Cobelens, Robin Wood, & Jason R. Andrews. (2018). Drivers of Seasonal Variation in Tuberculosis Incidence. Epidemiology. 29(6). 857–866. 26 indexed citations

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.

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