Anna Glechner

630 citations
24 papers · 458 · h-index 11

Impact in

Papers in

Anna Glechner

21 papers receiving 432 citations

Peers

Anna Glechner
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 123
  • Drug Discovery 1
  • Cancer Research 45
  • Statistics, Probability and Uncertainty 20
  • Public Health, Environmental and Occupational Health 68
Replace Brent B. Diekmann with:
Brent B. Diekmann United States
Maya Rahme Lebanon
Li‐Na Kuo Taiwan
Divyesh Thakker United States
Luiz Francisco Baccaro Brazil
Christopher J. Duff United Kingdom
Kyong Wook Yi South Korea
Gillian Turner United Kingdom
Simon T. Williams United Kingdom
Anna Glechner relative to Brent B. Diekmann United States Brent B. Diekmann's profile →
Citations per field
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Brent B. Diekmann · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 201249
3 201449
4 201328
5 201524
6 202322
7 202119
8 201617
9 201516
10 201812
11 201911
12 20189
13 20228
14 20228
15 20155
16 20205
17 20134
18 20143
19 20193
20 20121

About Anna Glechner

Anna Glechner is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Geriatrics and Gerontology and General Health Professions, having authored 24 papers that have together received 458 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (4 papers), Clinical practice guidelines implementation (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Healthcare cost, quality, practices (2 papers), Diabetes Treatment and Management (2 papers), Blood transfusion and management (1 paper), Acute Kidney Injury Research (1 paper) and Nausea and vomiting management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (123 citations), Drug Discovery (1 citation), Cancer Research (45 citations), Statistics, Probability and Uncertainty (20 citations) and Public Health, Environmental and Occupational Health (68 citations). Anna Glechner has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Gerald Gartlehner, Gernot Wagner, Irma Klerings, Christina Kien, Lisa Affengruber, Viktoria Titscher, Isolde Sommer, Nina Matyas, Michaela Strobelberger and Ursula Griebler. Their work appears in journals such as Journal of Clinical Epidemiology, Journal of Clinical Medicine, Arthritis Care & Research, ESMO Open and Cochrane Database of Systematic Reviews.

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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