Milka Vrecl

1.8k citations
81 papers · 1.4k indexed · h-index 20
Topics
Receptor Mechanisms and Signaling (21 papers)Neuropeptides and Animal Physiology (12 papers)Effects and risks of endocrine disrupting chemicals (11 papers)

In The Last Decade

Milka Vrecl

75 papers receiving 1.3k citations

Peers

Milka Vrecl
Comparison fields: 5 of 116
  • Molecular Biology 782
  • Cellular and Molecular Neuroscience 347
  • Reproductive Medicine 309
  • Genetics 159
  • Animal Science and Zoology 135
Replace M. T. Castells with:
M. T. Castells Spain
Xu Zhou China
Sheng Cui China
Robert W. Kuhn United States
Jean-Claude Cuber France
Ten‐Tsao Wong United States
J. McGadey United Kingdom
Jae‐Won Huh South Korea
Milka Vrecl relative to M. T. Castells Spain M. T. Castells's profile →
Citations per field
00.5×3.9×
M. T. Castells · 1×
Citations per year

Countries citing papers authored by Milka Vrecl

Since Specialization
Citations

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

Fields of papers citing papers by Milka Vrecl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milka Vrecl

This figure shows the co-authorship network connecting the top 25 collaborators of Milka Vrecl. A scholar is included among the top collaborators of Milka Vrecl 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 Milka Vrecl. Milka Vrecl 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 0
3 0
4 1
5 3
6 4
7 3
8 2
9 6
10 3
11 11
12 34
13 13
14 6
15 11
16 4
17
Seven transmembrane receptors (7TM) in the view of dimerization and experimental methods to study their dimerization and cross-talk.
3
18
Enzootic nasal adenocarcinoma of sheep.
6
19 71
20 71

About Milka Vrecl

Milka Vrecl is a scholar working on Microbiology, Reproductive Medicine and Equine, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), Neuropeptides and Animal Physiology (12 papers) and Effects and risks of endocrine disrupting chemicals (11 papers). The work is most often cited by research in Reproductive Medicine (309 citations), Cellular and Molecular Neuroscience (347 citations) and Animal Science and Zoology (135 citations). Milka Vrecl has collaborated with scholars based in Slovenia, Germany and United Kingdom. Frequent co-authors include Anders Heding, Karin A. Eidne, A. Pogačnik, Rasmus Jørgensen, Robin Sellar, Philip L. Taylor, Aylin C. Hanyaloglu, Valentina Kubale, Christian Elling and Alison McGregor. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

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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