Max Moldovan

48 papers receiving 2.6k citations

Max Moldovan's Hit Papers

IL28B is associated with response to chronic hepatitis C interferon-α and ribavirin therapy 2009 · 1.5k citations
1.5k0+5+11Years since publication50010001.5k

Peers

Max Moldovan
Comparison fields: 5 of 137
  • Hepatology 1.2k
  • Health Information Management 361
  • Pharmacy 112
  • Epidemiology 710
  • Cancer Research 205
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Chin Hur United States
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Martin B Van Der Weyden Australia
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Citations per field
00.5×10×20×32.8×
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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-authors

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

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IL28B is associated with response to chronic hepatitis C interferon-α and ribavirin therapy
Hit paper breakdown →
20091501
2 2012153
3 2020152
4 201279
5 201365
6 201256
7 201141
8 201939
9 200832
10 201931
11 201130
12 201829
13 201829
14 202127
15 202027
16 201926
17
Strengthening organizational performance through accreditation research-a framework for twelve interrelated studies: the ACCREDIT project study protocol
201125
18 202021
19
International and national quality and safety indicators for aged care
202021
20 201220

About Max Moldovan

Max Moldovan is a scholar working on Health Information Management, Molecular Biology, Pulmonary and Respiratory Medicine, Geriatrics and Gerontology and Statistics and Probability, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Healthcare Quality and Management (10 papers), Statistical Methods in Clinical Trials (5 papers), Heat shock proteins research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Statistical Methods and Bayesian Inference (3 papers), Prostate Cancer Treatment and Research (3 papers), Frailty in Older Adults (3 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Hepatology (1.2k citations), Health Information Management (361 citations), Pharmacy (112 citations), Epidemiology (710 citations) and Cancer Research (205 citations). Max Moldovan has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Vijayaprakash Suppiah, Maria Lorena Abate, Golo Ahlenstiel, Ulrich Spengler, Margaret F. Bassendine, Gregory J. Dore, Stephen M. Riordan, Martin Weltman, Antonina Smedile and Jacob George. Their work appears in journals such as International Journal for Quality in Health Care, BMJ Open, Statistics in Medicine, eLife 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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