Mitja Kos

1.7k citations
80 papers · 1.3k · h-index 19

Impact in

Papers in

Mitja Kos

77 papers receiving 1.2k citations

Peers

Mitja Kos
Comparison fields: 5 of 81
  • Geriatrics and Gerontology 392
  • Family Practice 85
  • Pharmacology 304
  • Economics and Econometrics 185
  • Endocrinology, Diabetes and Metabolism 52
Replace Karolina Andersson Sundell with:
Karolina Andersson Sundell Sweden
Surakit Nathisuwan Thailand
Igor Choodnovskiy United States
Domenico Motola Italy
Lorenzo Villa Zapata United States
Jonathan Hirohiko Watanabe United States
Matthew Boyd United Kingdom
André Oliveira Baldoni Brazil
Dennis K. Helling United States
Leslie S. Fish United States
Mitja Kos relative to Karolina Andersson Sundell Sweden Karolina Andersson Sundell's profile →
Citations per field
00.5×1.5×2×2.4×
Karolina Andersson Sundell · 1×
Citations per year

Countries citing papers authored by Mitja Kos

Since Specialization
Citations

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

Fields of papers citing papers by Mitja Kos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018185
2 201669
3 201863
4 201760
5 201448
6 201246
7 201946
8 201745
9 200839
10 201936
11 200733
12 201433
13 201733
14 201331
15 202029
16 202124
17 201023
18 201423
19 202123
20 201018

About Mitja Kos

Mitja Kos is a scholar working on Geriatrics and Gerontology, Pharmacology, Economics and Econometrics, Family Practice and Endocrinology, Diabetes and Metabolism, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmaceutical Economics and Policy (17 papers), Pharmaceutical Practices and Patient Outcomes (16 papers), Pharmacy and Medical Practices (13 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Medication Adherence and Compliance (7 papers), Diabetes Treatment and Management (7 papers), Pharmaceutical industry and healthcare (4 papers) and Pharmacovigilance and Adverse Drug Reactions (3 papers). The work is most often cited by research in Geriatrics and Gerontology (392 citations), Family Practice (85 citations), Pharmacology (304 citations), Economics and Econometrics (185 citations) and Endocrinology, Diabetes and Metabolism (52 citations). Mitja Kos has collaborated with scholars based in Slovenia, United States and Netherlands. Frequent co-authors include Nejc Horvat, Igor Locatelli, Aleš Mrhar, Kurt E. Hersberger, J. W. Foppe van Mil, M Obradović, Saija N. S. Leikola, Markus Messerli, Nina Griese‐Mammen and Rose Anne Kenny. Their work appears in journals such as International Journal of Clinical Pharmacy, PLoS ONE, Acta Pharmaceutica, Pharmacoepidemiology and Drug Safety and Research in Social and Administrative Pharmacy.

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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