Greg Jackson

844 citations
18 papers · 340 · h-index 10

Impact in

Papers in

Greg Jackson

17 papers receiving 331 citations

Peers

Greg Jackson
Comparison fields: 5 of 80
  • Infectious Diseases 203
  • Modeling and Simulation 15
  • Biomedical Engineering 113
  • Health 18
  • Water Science and Technology 27
Replace Aojie Wang with:
Aojie Wang China
Alessandro Mancon Italy
Byron Freire‐Paspuel Ecuador
Maximilian Gertler Germany
Jianbo Yan China
Changli Tu China
Jun Hyoung Kim South Korea
Annette Johansson Sweden
Kartik Kumar United Kingdom
Greg Jackson relative to Aojie Wang China Aojie Wang's profile →
Citations per field
00.5×6.3×
Aojie Wang · 1×
Citations per year

Countries citing papers authored by Greg Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Greg Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202279
2 202263
3 202240
4 200830
5 200227
6 202325
7 200414
8 200113
9 198613
10 198010
11 20238
12 20216
13 20244
14 20233
15 20222
16 19802
17
Safe and Healthy Drinking Water in Indigenous Local Government Areas Program: Service Delivery Model Prerequisites for Success
20191
18 20240

About Greg Jackson

Greg Jackson is a scholar working on Infectious Diseases, Biomedical Engineering, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 18 papers that have together received 340 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (7 papers), Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Viral-associated cancers and disorders (3 papers), Lymphoma Diagnosis and Treatment (2 papers), COVID-19 diagnosis using AI (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Fecal contamination and water quality (2 papers). The work is most often cited by research in Infectious Diseases (203 citations), Modeling and Simulation (15 citations), Biomedical Engineering (113 citations), Health (18 citations) and Water Science and Technology (27 citations). Greg Jackson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Phil M. Choi, Warish Ahmed, Wendy Smith, Suzanne Metcalfe, Stuart L. Simpson, David Talbot, Aaron Bivins, Manish Kumar, Xuan Li and F.K. Gould. Their work appears in journals such as Tropical Medicine and Infectious Disease, Water Research X, Veterinary Record, Orthopaedic Journal of Sports Medicine and Birth.

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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