Barbara Schug

46 papers receiving 931 citations

Peers

Barbara Schug
Comparison fields: 5 of 121
  • Pharmaceutical Science 272
  • Gastroenterology 105
  • Analytical Chemistry 129
  • Pharmacology 112
  • Anesthesiology and Pain Medicine 57
Replace Patrick K. Noonan with:
Patrick K. Noonan United States
Kirstin Thelen Germany
Carl‐Gunnar Regårdh Sweden
L.F. Lacey United Kingdom
Jiansong Yang United Kingdom
Richard H. Reuning United States
A. H. Staib Germany
Aryeh Hurwitz United States
Kyoung Soo Lim South Korea
Parviz Mojaverian United States
Barbara Schug relative to Patrick K. Noonan United States Patrick K. Noonan's profile →
Citations per field
00.5×2.6×
Patrick K. Noonan · 1×
Citations per year

Countries citing papers authored by Barbara Schug

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Schug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006162
2 1999104
3 200980
4 201474
5 199973
6 200249
7 200247
8 200238
9 200238
10 200433
11 200625
12 200224
13 200624
14 200822
15 201719
16 201015
17 201115
18 200213
19 200113
20 202112

About Barbara Schug

Barbara Schug is a scholar working on Pediatrics, Perinatology and Child Health, Pharmaceutical Science, Analytical Chemistry, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 991 indexed citations. Recurring topics across this work include Pharmaceutical studies and practices (12 papers), Analytical Methods in Pharmaceuticals (9 papers), Drug Solubulity and Delivery Systems (9 papers), Statistical Methods in Clinical Trials (7 papers), Diabetes Treatment and Management (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Pain Mechanisms and Treatments (4 papers) and Biosimilars and Bioanalytical Methods (4 papers). The work is most often cited by research in Pharmaceutical Science (272 citations), Gastroenterology (105 citations), Analytical Chemistry (129 citations), Pharmacology (112 citations) and Anesthesiology and Pain Medicine (57 citations). Barbara Schug has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Henning Blume, Frank Donath, Meinolf Wonnemann, E. Brendel, Stephan A. Schug, Sina Grape, Stefan Lauer, Manfred Wargenau, Katharina Erb and Róbert Hermann. Their work appears in journals such as European Journal of Pharmaceutical Sciences, British Journal of Clinical Pharmacology, Contraception, Journal of Chromatography B and Journal of Controlled Release.

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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