John J. Ko

20 papers receiving 426 citations

Peers

John J. Ko
Comparison fields: 5 of 79
  • Family Practice 31
  • Geriatrics and Gerontology 26
  • Pathology and Forensic Medicine 100
  • Medical Terminology 1
  • Economics and Econometrics 102
Replace Ansgar Hebborn with:
Ansgar Hebborn Switzerland
Kristen McCullough United States
Anthony Louder United States
Huah Shin Ng Australia
Joshua Posner United States
Eline van Overbeeke Belgium
Katherine Wilemon United States
Meaghan Krohe United States
Naresh Bellam United States
Gurvaneet Randhawa United States
John J. Ko relative to Ansgar Hebborn Switzerland Ansgar Hebborn's profile →
Citations per field
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Ansgar Hebborn · 1×
Citations per year

Countries citing papers authored by John J. Ko

Since Specialization
Citations

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

Fields of papers citing papers by John J. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John J. 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 John J. Ko Line = papers co-authored together John J. Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201766
3 202161
4 201746
5 201838
6 201737
7 202033
8 201621
9 202214
10 201612
11 202210
12 202110
13 20005
14 20205
15 20152
16 20212
17 20192
18 20161
19 20161
20 20161

About John J. Ko

John J. Ko is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Rheumatology, having authored 23 papers that have together received 443 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (10 papers), Heme Oxygenase-1 and Carbon Monoxide (9 papers), Neonatal Health and Biochemistry (5 papers), Multiple Sclerosis Research Studies (5 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Folate and B Vitamins Research (3 papers), Pharmaceutical Economics and Policy (3 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Family Practice (31 citations), Geriatrics and Gerontology (26 citations), Pathology and Forensic Medicine (100 citations), Medical Terminology (1 citation) and Economics and Econometrics (102 citations). John J. Ko has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Kristen Johnson, Rahul Sasané, Vivian Herrera, Feng Lin, Huanxue Zhou, Paul Wicks, Steve Arcona, Yujin Park, Aneesh Thomas George and Syed Atif Raza. Their work appears in journals such as Journal of Managed Care & Specialty Pharmacy, Neurology, The American Journal of Gastroenterology, Value in Health and Liver International.

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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