Matjaž Gregorič

1.1k total citations
48 papers, 738 citations indexed

About

Matjaž Gregorič is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Matjaž Gregorič has authored 48 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 26 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Molecular Biology. Recurrent topics in Matjaž Gregorič's work include Spider Taxonomy and Behavior Studies (34 papers), Animal Behavior and Reproduction (16 papers) and Insect and Arachnid Ecology and Behavior (13 papers). Matjaž Gregorič is often cited by papers focused on Spider Taxonomy and Behavior Studies (34 papers), Animal Behavior and Reproduction (16 papers) and Insect and Arachnid Ecology and Behavior (13 papers). Matjaž Gregorič collaborates with scholars based in Slovenia, United States and China. Matjaž Gregorič's co-authors include Matjaž Kuntner, Ingi Agnarsson, Simona Kralj‐Fišer, Todd A. Blackledge, Daiqin Li, Shichang Zhang, Ren‐Chung Cheng, Jonathan A. Coddington, Jason E. Bond and Chris A. Hamilton and has published in prestigious journals such as PLoS ONE, Scientific Reports and Animal Behaviour.

In The Last Decade

Matjaž Gregorič

45 papers receiving 728 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matjaž Gregorič Slovenia 17 542 368 137 129 80 48 738
Tamás Szűts Hungary 9 499 0.9× 308 0.8× 101 0.7× 133 1.0× 32 0.4× 31 708
Linden Higgins United States 18 628 1.2× 540 1.5× 136 1.0× 207 1.6× 95 1.2× 32 887
Ren‐Chung Cheng Taiwan 13 458 0.8× 327 0.9× 75 0.5× 34 0.3× 63 0.8× 32 564
Samuel Zschokke Switzerland 19 595 1.1× 484 1.3× 61 0.4× 167 1.3× 107 1.3× 39 937
Nicole L. Garrison United States 8 411 0.8× 151 0.4× 175 1.3× 84 0.7× 27 0.3× 15 532
Chen‐Pan Liao Taiwan 15 343 0.6× 295 0.8× 70 0.5× 185 1.4× 152 1.9× 51 596
Juanita Rodríguez Australia 14 419 0.8× 375 1.0× 103 0.8× 46 0.4× 24 0.3× 45 678
Kensuke Nakata Japan 19 595 1.1× 618 1.7× 99 0.7× 61 0.5× 133 1.7× 44 836
James Starrett United States 17 546 1.0× 225 0.6× 315 2.3× 49 0.4× 44 0.6× 36 905
Fernando Pérez‐Miles Uruguay 17 781 1.4× 553 1.5× 35 0.3× 32 0.2× 48 0.6× 94 926

Countries citing papers authored by Matjaž Gregorič

Since Specialization
Citations

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

Fields of papers citing papers by Matjaž Gregorič

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matjaž Gregorič

This figure shows the co-authorship network connecting the top 25 collaborators of Matjaž Gregorič. A scholar is included among the top collaborators of Matjaž Gregorič 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 Matjaž Gregorič. Matjaž Gregorič 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
1.
Kuntner, Matjaž, Matjaž Bedjanič, Matjaž Gregorič, et al.. (2025). Osmooka , a new spider genus from Madagascar: a surprising relative of the Australian fauna (Araneae: Paraplectanoididae). Insect Systematics and Diversity. 9(6).
2.
Gregorič, Matjaž, et al.. (2024). A perilous Malagasy triad: a spider ( Vigdisia praesidens , gen. and sp. nov.) and an ant compete for termite food. New Zealand Journal of Zoology. 52(4). 428–439. 1 indexed citations
3.
4.
Agnarsson, Ingi, James Starrett, Jason E. Bond, et al.. (2023). Discovery and Genetic Characterization of Single Cohort Adult Colonies With Male Aggregations, and Preliminary Evidence for Lekking in a Malagasy Kite Spider (Isoxya, Gasteracanthinae). Insect Systematics and Diversity. 7(1). 1 indexed citations
5.
Gregorič, Matjaž, Denis Kutnjak, Katarina Bačnik, et al.. (2022). Spider webs as eDNA samplers: Biodiversity assessment across the tree of life. Molecular Ecology Resources. 22(7). 2534–2545. 28 indexed citations
6.
Babb, Paul, Matjaž Gregorič, Nicholas F. Lahens, et al.. (2022). Characterization of the genome and silk-gland transcriptomes of Darwin’s bark spider (Caerostris darwini). PLoS ONE. 17(6). e0268660–e0268660. 13 indexed citations
7.
Bond, Jason E., Ren‐Chung Cheng, Klemen Čandek, et al.. (2021). A Natural Colonisation of Asia: Phylogenomic and Biogeographic History of Coin Spiders (Araneae: Nephilidae: Herennia). Diversity. 13(11). 515–515. 4 indexed citations
8.
Gregorič, Matjaž, et al.. (2021). First insights into the origin of Iranian cave beetle diversity with description of two new species of the genus Duvalius (Carabidae). Journal of Zoological Systematics & Evolutionary Research. 59(7). 1453–1469. 2 indexed citations
9.
Gregorič, Matjaž, et al.. (2021). Sex-specific developmental trajectories in an extremely sexually size dimorphic spider. Die Naturwissenschaften. 108(6). 54–54. 3 indexed citations
10.
Outomuro, David, Matjaž Gregorič, Simona Kralj‐Fišer, et al.. (2021). The jumping spider Saitis barbipes lacks a red photoreceptor to see its own sexually dimorphic red coloration. Die Naturwissenschaften. 109(1). 6–6. 11 indexed citations
11.
Čelik, Tatjana, et al.. (2021). Adherence to COVID-19 mitigation measures: The role of sociodemographic and personality factors. Current Psychology. 42(9). 7771–7787. 10 indexed citations
12.
Garb, Jessica E., Robert A. Haney, Evelyn E. Schwager, et al.. (2019). The transcriptome of Darwin’s bark spider silk glands predicts proteins contributing to dragline silk toughness. Communications Biology. 2(1). 275–275. 50 indexed citations
13.
Kralj‐Fišer, Simona, et al.. (2016). Potential costs of heterospecific sexual interactions in golden orbweb spiders (Nephila spp.). Scientific Reports. 6(1). 36908–36908. 5 indexed citations
14.
Coddington, Jonathan A., Ingi Agnarsson, Ren‐Chung Cheng, et al.. (2016). DNA barcode data accurately assign higher spider taxa. PeerJ. 4. e2201–e2201. 28 indexed citations
15.
Gregorič, Matjaž, et al.. (2016). Spider behaviors include oral sexual encounters. Scientific Reports. 6(1). 25128–25128. 11 indexed citations
16.
Gregorič, Matjaž, et al.. (2013). Optimal foraging, not biogenetic law, predicts spider orb web allometry. Die Naturwissenschaften. 100(3). 263–268. 9 indexed citations
17.
Čandek, Klemen, et al.. (2013). Robertus scoticus Jackson 1914. 1 indexed citations
18.
Kuntner, Matjaž, Matjaž Gregorič, Shichang Zhang, Simona Kralj‐Fišer, & Daiqin Li. (2012). Mating Plugs in Polyandrous Giants: Which Sex Produces Them, When, How and Why?. PLoS ONE. 7(7). e40939–e40939. 25 indexed citations
19.
Gregorič, Matjaž, Ingi Agnarsson, Todd A. Blackledge, & Matjaž Kuntner. (2011). How Did the Spider Cross the River? Behavioral Adaptations for River-Bridging Webs in Caerostris darwini (Araneae: Araneidae). PLoS ONE. 6(10). e26847–e26847. 28 indexed citations
20.
Kuntner, Matjaž, Matjaž Gregorič, & Daiqin Li. (2010). Mass predicts web asymmetry in Nephila spiders. Die Naturwissenschaften. 97(12). 1097–1105. 23 indexed citations

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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