Mary Ko

27 papers receiving 927 citations

Peers

Mary Ko
Comparison fields: 5 of 104
  • Infectious Diseases 332
  • Molecular Medicine 67
  • Epidemiology 316
  • Molecular Biology 422
  • Emergency Medical Services 34
Replace François Parant with:
François Parant France
Riana Cockeran South Africa
Haruaki Tomioka Japan
Masataka Oda Japan
Seok‐Yong Eum South Korea
Jin Su Song South Korea
Lena Heinbockel Germany
K. Traber United States
Shinobu Kobayashi Japan
Hui Lu China
Mary Ko relative to François Parant France François Parant's profile →
Citations per field
00.5×2.9×
François Parant · 1×
Citations per year

Countries citing papers authored by Mary Ko

Since Specialization
Citations

This map shows the geographic impact of Mary Ko'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 Mary Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Ko more than expected).

Fields of papers citing papers by Mary Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Ko. 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 Mary Ko. The network helps show where Mary Ko may publish in the future.

Co-authors

The 25 scholars most cited alongside Mary Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mary Ko Line = papers co-authored together Mary Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004203
2 2002161
3 200977
4 199976
5 199858
6 201954
7 201841
8 201138
9 200637
10 201733
11 201830
12 201028
13 201719
14 202018
15 202112
16 202112
17 202211
18 20236
19 20206
20 20225

About Mary Ko

Mary Ko is a scholar working on Infectious Diseases, Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Epidemiology, having authored 29 papers that have together received 944 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Infant Development and Preterm Care (5 papers), Neonatal Respiratory Health Research (5 papers), Respiratory Support and Mechanisms (3 papers), Infant Nutrition and Health (3 papers), Gut microbiota and health (3 papers), Mycobacterium research and diagnosis (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Infectious Diseases (332 citations), Molecular Medicine (67 citations), Epidemiology (316 citations), Molecular Biology (422 citations) and Emergency Medical Services (34 citations). Mary Ko has collaborated with scholars based in Canada, Taiwan and United States. Frequent co-authors include Yossef Av‐Gay, A. Felix Ofulue, Gerald L. Newton, Robert C. Fahey, G. Regev-Shoshani, Mamta Rawat, Christopher C.J. Miller, Raja T. Abboud, Katrina Downing and Joanna Betts. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Pediatrics, American Journal of Physiology-Lung Cellular and Molecular Physiology, The Journal of Antibiotics and iScience.

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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