Markus Veit

62 papers receiving 3.3k citations

Peers

Markus Veit
Comparison fields: 5 of 140
  • Biochemistry 891
  • Complementary and alternative medicine 309
  • Plant Science 1.4k
  • Pharmacology 269
  • Food Science 527
Replace Ferruccio Poli with:
Ferruccio Poli Italy
Ágnes Kéry Hungary
A D Diwan India
Cristina Theoduloz Chile
Fred A. Mellon United Kingdom
Takashi Yoshida Japan
Shoji Yahara Japan
Emile Marcel Gaydou France
Maike Petersen Germany
Junei Kinjo Japan
Markus Veit relative to Ferruccio Poli Italy Ferruccio Poli's profile →
Citations per field
00.5×1.5×
Ferruccio Poli · 1×
Citations per year

Countries citing papers authored by Markus Veit

Since Specialization
Citations

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

Fields of papers citing papers by Markus Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001545
2 1998322
3 2002261
4 1998205
5 2000195
6 2004174
7 1997150
8 2002143
9
Pharmacokinetics and bioavailability of the flavonol quercetin in humans.
1999129
10 1999122
11 2001121
12 200291
13 199582
14 199079
15 200279
16 199878
17 199670
18 199959
19 200157
20 199953

About Markus Veit

Markus Veit is a scholar working on Biochemistry, Plant Science, Complementary and alternative medicine, Pharmacology and Analytical Chemistry, having authored 66 papers that have together received 3.6k indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (14 papers), Phytochemicals and Antioxidant Activities (12 papers), Natural product bioactivities and synthesis (8 papers), Analytical Chemistry and Chromatography (6 papers), Chromatography in Natural Products (6 papers), Essential Oils and Antimicrobial Activity (5 papers), Botanical Research and Chemistry (5 papers) and Medicinal plant effects and applications (4 papers). The work is most often cited by research in Biochemistry (891 citations), Complementary and alternative medicine (309 citations), Plant Science (1.4k citations), Pharmacology (269 citations) and Food Science (527 citations). Markus Veit has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Hartmut Derendorf, Claudia Kohlert, Gottfried Weissenböck, Bernd Drewelow, Janet French Bornman, Guido F. Pauli, Holger Pforte, Gisela Jacobasch, Silke Mueller and Bernhard Uehleke. Their work appears in journals such as Planta Medica, Phytochemistry, Phytomedicine, The Journal of Clinical Pharmacology and Physiologia Plantarum.

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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