A. Pogačnik

546 citations
28 papers · 427 indexed · h-index 12

Impact in

Papers in

A. Pogačnik

25 papers receiving 406 citations

Peers

A. Pogačnik
Comparison fields: 5 of 80
  • Biotechnology 103
  • Insect Science 57
  • Reproductive Medicine 32
  • Equine 6
  • Genetics 96
Replace Jaana Jurvansuu with:
Jaana Jurvansuu Finland
Manabu Ogiso Japan
William J. Sharrock United States
Qiaofang Chen United States
Bingfang Xu United States
Victoria Finnerty United States
Shusuke Taniuchi Japan
R.L. Yenofsky United States
Susan Gerber-Huber Switzerland
Sara J. Hartman United States
A. Pogačnik relative to Jaana Jurvansuu Finland Jaana Jurvansuu's profile →
Citations per field
00.5×6.4×
Jaana Jurvansuu · 1×
Citations per year

Countries citing papers authored by A. Pogačnik

Since Specialization
Citations

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

Fields of papers citing papers by A. Pogačnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201039
2 200916
3 200939
4 20091
5
Seven transmembrane receptors (7TM) in the view of dimerization and experimental methods to study their dimerization and cross-talk.
20083
6
Some morphological aspects of the cremaster muscle in brown hare and domestic rabbit.
20081
7 200820
8 200611
9 200471
10 200416
11 200335
12 200217
13 20016
14 20016
15 19996
16 19989
17 19960
18 19952
19
Combined histochemical and immunohistochemical determination of three muscle fibre types in a single section of porcine skeletal muscle.
19957
20 19931

About A. Pogačnik

A. Pogačnik is a scholar working on Equine, Biotechnology, Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 28 papers that have together received 427 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (6 papers), Receptor Mechanisms and Signaling (5 papers), Toxic Organic Pollutants Impact (5 papers), Neuropeptides and Animal Physiology (4 papers), Muscle Physiology and Disorders (3 papers), Microbial Inactivation Methods (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Insect and Pesticide Research (2 papers). The work is most often cited by research in Biotechnology (103 citations), Insect Science (57 citations), Reproductive Medicine (32 citations), Equine (6 citations) and Genetics (96 citations). A. Pogačnik has collaborated with scholars based in Slovenia, United Kingdom and Austria. Frequent co-authors include Milka Vrecl, Anders Heding, Ivor D. Bowen, Aleš Gregorc, G. Fazarinc, Rasmus Jørgensen, Maja Čemažar, Darja Pavlin, Gregor Serša and Nataša Tozon. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, SLAS DISCOVERY, Chemosphere, Apidologie and Bulletin of Environmental Contamination and Toxicology.

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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