Mathias Schlögl

1.4k citations
59 papers · 772 · h-index 13

Impact in

  • Physiology top 5%
    • Nutrition and Health in Aging
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Body Composition Measurement Techniques
    • Frailty in Older Adults

Papers in

Mathias Schlögl

49 papers receiving 751 citations

Peers

Mathias Schlögl
Comparison fields: 5 of 96
  • Physiology 343
  • Geriatrics and Gerontology 42
  • Biological Psychiatry 11
  • Pathology and Forensic Medicine 77
  • Endocrine and Autonomic Systems 28
Replace Hui‐Fang Yang with:
Hui‐Fang Yang Taiwan
Dominik Spira Germany
Matheus Uba Chupel Portugal
Pei-Lun Kuo United States
Beeya Na United States
Nikolaus Buchmann Germany
Kazuto Omiya Japan
Jinwei Li China
Duck-chul Lee United States
Christoph Becker Switzerland
Mathias Schlögl relative to Hui‐Fang Yang Taiwan Hui‐Fang Yang's profile →
Citations per field
00.5×3.3×
Hui‐Fang Yang · 1×
Citations per year

Countries citing papers authored by Mathias Schlögl

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Schlögl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015237
2 201494
3 201558
4 202051
5 201344
6 201629
7 201522
8 201821
9 200620
10 201916
11 202116
12 201515
13 202313
14 202112
15 201810
16 202210
17 20219
18 20178
19 20187
20 20217

About Mathias Schlögl

Mathias Schlögl is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Pediatrics, Perinatology and Child Health, Pathology and Forensic Medicine and Critical Care and Intensive Care Medicine, having authored 59 papers that have together received 772 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (12 papers), Adipose Tissue and Metabolism (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Intensive Care Unit Cognitive Disorders (4 papers), Family and Patient Care in Intensive Care Units (4 papers), Vitamin D Research Studies (4 papers), Nutrition and Health in Aging (3 papers) and Frailty in Older Adults (3 papers). The work is most often cited by research in Physiology (343 citations), Geriatrics and Gerontology (42 citations), Biological Psychiatry (11 citations), Pathology and Forensic Medicine (77 citations) and Endocrine and Autonomic Systems (28 citations). Mathias Schlögl has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Michael F. Holick, Heike A. Bischoff‐Ferrari, Bess Dawson‐Hughes, Hannes B. Staehelin, John Orav, René Rizzoli, Walter C. Willett, John А. Kanis, Jonathan Krakoff and Christopher A. Jones. Their work appears in journals such as Journal of Palliative Medicine, The Journal of Clinical Endocrinology & Metabolism, Annals of Palliative Medicine, Journal of Clinical Medicine and Diabetes.

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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