Benita Plesch

462 citations
14 papers · 386 indexed · h-index 12
Topics
Monoclonal and Polyclonal Antibodies Research (4 papers)Immune Cell Function and Interaction (4 papers)Neurobiology and Insect Physiology Research (4 papers)
Partner nations
Netherlands

In The Last Decade

Benita Plesch

14 papers receiving 357 citations

Peers

Benita Plesch
Comparison fields: 5 of 83
  • Immunology 158
  • Cellular and Molecular Neuroscience 63
  • Ecology 52
  • Molecular Biology 50
  • Physiology 38
Replace Takashi Nishimura with:
Takashi Nishimura Japan
Nuria Alemañ Spain
Rafael M. Mariante Brazil
G.K. Mbassa Tanzania
R. W. Cook United Kingdom
Ghylène Goudet France
B. F. Matthews United Kingdom
Ronald Dikkeboom Netherlands
Luke Lazarou United Kingdom
Shunsaku Fujii Japan
Benita Plesch relative to Takashi Nishimura Japan Takashi Nishimura's profile →
Citations per field
00.5×3.7×
Takashi Nishimura · 1×
Citations per year

Countries citing papers authored by Benita Plesch

Since Specialization
Citations

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

Fields of papers citing papers by Benita Plesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benita Plesch

This figure shows the co-authorship network connecting the top 25 collaborators of Benita Plesch. A scholar is included among the top collaborators of Benita Plesch 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 Benita Plesch. Benita Plesch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 11
3 21
4 34
5
Large mononuclear Ia-positive veiled cells in Peyer's patches. II. Localization in rat Peyer's patches.
44
6 46
7 24
8 12
9 38
10 42
11 20
12 5
13 32
14 55

About Benita Plesch

Benita Plesch is a scholar working on Immunology, Physiology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (4 papers) and Neurobiology and Insect Physiology Research (4 papers). The work is most often cited by research in Immunology (158 citations), Small Animals (28 citations) and Cellular and Molecular Neuroscience (63 citations). Benita Plesch has collaborated with scholars based in Netherlands. Frequent co-authors include T. Sminia, H. H. Boer, Marijke de Jong‐Brink, E.Marga Janse, C. Janse, Gerda J. van der Brugge-Gamelkoorn, S. G. M. Meuwissen, H. A. Drexhage, Evert F. Weltevreden and R. L. Gregson. Their work appears in journals such as Cell and Tissue Research, Advances in experimental medicine and biology and The Anatomical Record.

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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