Anna Glechner

612 citations
23 papers · 402 · h-index 10

Impact in

Papers in

Anna Glechner

21 papers receiving 384 citations

Peers

Anna Glechner
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 117
  • Pharmacy 32
  • Anesthesiology and Pain Medicine 17
  • Cancer Research 45
  • Statistics, Probability and Uncertainty 18
Replace Ahmad Reza Soroush with:
Ahmad Reza Soroush Iran
Claire L. Le Guen United States
Hasan Haboubi United Kingdom
Laura M.G. Meems Netherlands
Paolo Matteo Angeletti Italy
Lisa C. Bookstein United States
Yu Jin Yang South Korea
Isabelle Rünkle Spain
Marina Maggini Italy
Isabelle N Colmers-Gray Canada
Anna Glechner relative to Ahmad Reza Soroush Iran Ahmad Reza Soroush's profile →
Citations per field
00.5×
Ahmad Reza Soroush · 1×
Citations per year

Countries citing papers authored by Anna Glechner

Since Specialization
Citations

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

Fields of papers citing papers by Anna Glechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018146
2 201244
3 201444
4 201326
5 201521
6 202316
7 201616
8 201515
9 202115
10 20189
11 20199
12 20188
13 20228
14 20156
15 20225
16 20134
17 20204
18 20143
19 20191
20 20121

About Anna Glechner

Anna Glechner is a scholar working on Public Health, Environmental and Occupational Health, Economics and Econometrics, Surgery, General Health Professions and Statistics, Probability and Uncertainty, having authored 23 papers that have together received 402 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Clinical practice guidelines implementation (6 papers), Meta-analysis and systematic reviews (4 papers), Healthcare cost, quality, practices (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Education (2 papers), Diabetes Treatment and Management (2 papers) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (117 citations), Pharmacy (32 citations), Anesthesiology and Pain Medicine (17 citations), Cancer Research (45 citations) and Statistics, Probability and Uncertainty (18 citations). Anna Glechner has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Gerald Gartlehner, Christina Kien, Irma Klerings, Gernot Wagner, Lisa Affengruber, Viktoria Titscher, Nina Matyas, Isolde Sommer, Michaela Strobelberger and Ursula Griebler. Their work appears in journals such as Journal of Clinical Epidemiology, Journal of Clinical Medicine, Journal of Fungi, ESMO Open and European Journal of Cancer.

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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