Max Moldovan

4.4k citations
48 papers · 2.6k indexed · 1 hit paper · h-index 20

Max Moldovan

48 papers receiving 2.6k citations

Hit Papers

IL28B is associated with response to chronic hepatitis C ...1.5k20092026201420204008001.2k

Peers

Max Moldovan
Comparison fields: 5 of 134
  • Hepatology 1.3k
  • Health Information Management 412
  • Pharmacy 259
  • Epidemiology 1.1k
  • Rheumatology 298
Replace Neil Wintfeld with:
Neil Wintfeld United States
Jennifer R. Kramer United States
Chin Hur United States
Bryce D. Smith United States
Kurt R. Schumacher United States
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Samir Gupta United States
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Hagop S. Mekhjian United States
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Citations per field
00.5×4.2×
Neil Wintfeld · 1×
Citations per year

Countries citing papers authored by Max Moldovan

Since Specialization
Citations

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

Fields of papers citing papers by Max Moldovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20232
3 202126
4 202019
5 2020140
6 201930
7 201939
8 201829
9 201617
10 201514
11
Economic evaluation of Australian acute care accreditation
20133
12 201314
13 201317
14 201219
15 201215
16 201218
17 201272
18
Strengthening organizational performance through accreditation research-a framework for twelve interrelated studies: the ACCREDIT project study protocol
201121
19 201130
20 200712

About Max Moldovan

Max Moldovan is a scholar working on Health Information Management, Geriatrics and Gerontology, Pharmacy, Statistics and Probability and General Health Professions, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Healthcare Quality and Management (12 papers), Geriatric Care and Nursing Homes (8 papers), Clinical practice guidelines implementation (7 papers), Patient Satisfaction in Healthcare (5 papers), Innovations in Medical Education (5 papers), Statistical Methods in Clinical Trials (5 papers), Frailty in Older Adults (4 papers) and Heat shock proteins research (4 papers). The work is most often cited by research in Hepatology (1.3k citations), Health Information Management (412 citations), Pharmacy (259 citations), Epidemiology (1.1k citations) and Rheumatology (298 citations). Max Moldovan has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Vijayaprakash Suppiah, Gregory J. Dore, Ulrich Spengler, Margaret F. Bassendine, Elizabeth E. Powell, Golo Ahlenstiel, Melanie Bahlo, Thomas Berg, Martin Weltman and Stephen M. Riordan. Their work appears in journals such as International Journal for Quality in Health Care, BMJ Open, Statistics in Medicine, BMC Health Services Research and Journal of the American Medical Informatics Association.

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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