John Borghi

1.5k citations
21 papers · 874 · 1 hit paper · h-index 13

Impact in

Papers in

John Borghi

20 papers receiving 851 citations

John Borghi's Hit Papers

Epidemiology of COVID‐19: A systematic review and meta‐analysis of clinical characteristics, risk factors, and outcomes 2020 · 442 citations
4420+2+4Years since publication100200300400

Peers

John Borghi
Comparison fields: 5 of 107
  • Information Systems and Management 110
  • Infectious Diseases 223
  • Neurology 110
  • Hepatology 52
  • Modeling and Simulation 25
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Citations per year

Countries citing papers authored by John Borghi

Since Specialization
Citations

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

Fields of papers citing papers by John Borghi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epidemiology of COVID‐19: A systematic review and meta‐analysis of clinical characteristics, risk factors, and outcomes
Hit paper breakdown →
2020442
2 202076
3 201764
4 201848
5 202148
6 202032
7 202128
8 202228
9 201826
10 201823
11 202215
12 202213
13 201812
14 20186
15 20225
16 20232
17
The Library as an Active Collaborator in Meta-Science, Open Science, and Data Science
20192
18 20211
19 20171
20 20181

About John Borghi

John Borghi is a scholar working on Information Systems, Information Systems and Management, Management Science and Operations Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 21 papers that have together received 874 indexed citations. Recurring topics across this work include Research Data Management Practices (10 papers), Data Quality and Management (7 papers), Scientific Computing and Data Management (7 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Infection Control and Ventilation (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Information Systems and Management (110 citations), Infectious Diseases (223 citations), Neurology (110 citations), Hepatology (52 citations) and Modeling and Simulation (25 citations). John Borghi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Ana E. Van Gulick, Mindie H. Nguyen, Ramsey Cheung, Margaret Teng, Linda Henry, Wan Hui, Hua Chun Zeng, Jie Li, Chuanli Liu and Hongli Yang. Their work appears in journals such as PLoS ONE, Journal of the American College of Surgeons, PeerJ Computer Science, Otolaryngology and ˜The œLancet. Gastroenterology & hepatology.

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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