Marc W. Schmid

4.6k citations
59 papers · 2.1k indexed · 1 hit paper · h-index 28

Marc W. Schmid

54 papers receiving 2.1k citations

Hit Papers

Patterns in soil microbial diversity across Europe2023202620242025202350100150

Peers

Marc W. Schmid
Comparison fields: 5 of 118
  • Plant Science 1.3k
  • Molecular Biology 1.0k
  • Ecology, Evolution, Behavior and Systematics 345
  • Genetics 241
  • Ecology 214
Replace Fanghao Wan with:
Fanghao Wan China
Γεώργιος Παππάς Brazil
Bruce L. Parker United States
Cecilia Tagliavia United Kingdom
Dag Ahrén Sweden
Xiang Jia Min United States
Ying Chang Canada
Duckchul Park New Zealand
Richard Hooley United Kingdom
Marc W. Schmid relative to Fanghao Wan China Fanghao Wan's profile →
Citations per field
00.5×5.3×
Fanghao Wan · 1×
Citations per year

Countries citing papers authored by Marc W. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Marc W. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc W. Schmid. 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 Marc W. Schmid. The network helps show where Marc W. Schmid may publish in the future.

Co-authorship network of co-authors of Marc W. Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Marc W. Schmid. A scholar is included among the top collaborators of Marc W. Schmid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc W. Schmid. Marc W. Schmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 1
5 12
6 6
7 26
8 11
9 71
10 18
11 67
12 18
13 102
14 17
15 42
16 32
17 41
18 44
19 72
20
Haploid karyotypes of two species of orchid bees (Hymenoptera: Apidae, Euglossini).
4

About Marc W. Schmid

Marc W. Schmid is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Parasitology, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (17 papers), Plant Reproductive Biology (12 papers) and Plant and animal studies (8 papers). The work is most often cited by research in Plant Science (1.3k citations), Ecology, Evolution, Behavior and Systematics (345 citations) and Molecular Biology (1.0k citations). Marc W. Schmid has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Ueli Grossniklaus, Stefan Grob, Anja Schmidt, Bernhard Schmid, Sofia J. van Moorsel, Michele Wyler, Marcel G. A. van der Heijden, Ulrich C. Klostermeier, Philip Rosenstiel and Bruno Pok Man Ngou. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

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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