R. Siekmeier

82 papers receiving 1.1k citations

Peers

R. Siekmeier
Comparison fields: 5 of 117
  • Medical Laboratory Technology 22
  • Chemical Health and Safety 9
  • Endocrinology, Diabetes and Metabolism 209
  • Biochemistry 66
  • Clinical Biochemistry 72
Replace Carl Henric de Verdier with:
Carl Henric de Verdier Sweden
Chieko Hamada Japan
Tanja Dujić Bosnia and Herzegovina
Ardon Rubinstein Israel
Ole Blaabjerg Denmark
Wenxiang Chen China
Alison J. Weir United States
Begoña Manuel‐y‐Keenoy Belgium
Paolo Poggio Italy
S. Tam Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by R. Siekmeier

Since Specialization
Citations

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

Fields of papers citing papers by R. Siekmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200479
2
Inhaled insulin--does it become reality?
200878
3 199375
4 199871
5
Systemic treatment by inhalation of macromolecules--principles, problems, and examples.
200866
6 199354
7 200754
8 199452
9 200848
10 201435
11 201434
12 200830
13 200029
14 199325
15 199322
16 199622
17 200022
18 200122
19 199320
20 201920

About R. Siekmeier

R. Siekmeier is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Cancer Research, Physiology and Surgery, having authored 91 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (20 papers), Lipoproteins and Cardiovascular Health (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), Cancer, Lipids, and Metabolism (9 papers), Asthma and respiratory diseases (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Air Quality and Health Impacts (5 papers). The work is most often cited by research in Medical Laboratory Technology (22 citations), Chemical Health and Safety (9 citations), Endocrinology, Diabetes and Metabolism (209 citations), Biochemistry (66 citations) and Clinical Biochemistry (72 citations). R. Siekmeier has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Winfried März, G. Scheuch, Werner Groß, Tanja B. Grammer, Werner Jaroß, Gross Wl, Hubert Scharnagl, Christian Steffen, Marcus Edi Kleber and S. Bergmann. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Aerosol Science, Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Cardiovascular Pharmacology and Therapeutics.

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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