Jan Šklíba

840 total citations
30 papers, 637 citations indexed

About

Jan Šklíba is a scholar working on Ecology, Paleontology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jan Šklíba has authored 30 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 22 papers in Paleontology and 20 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jan Šklíba's work include Evolution and Paleontology Studies (22 papers), Animal Ecology and Behavior Studies (21 papers) and Bat Biology and Ecology Studies (19 papers). Jan Šklíba is often cited by papers focused on Evolution and Paleontology Studies (22 papers), Animal Ecology and Behavior Studies (21 papers) and Bat Biology and Ecology Studies (19 papers). Jan Šklíba collaborates with scholars based in Czechia, United States and Germany. Jan Šklíba's co-authors include Radim Šumbera, Matěj Lövy, Hynek Burda, Wilbert N. Chitaukali, Josef Bryja, Vladimír Mazoch, Eviatar Nevo, Jan Okrouhlík, Claudio Sillero‐Zubiri and Yonas Meheretu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Jan Šklíba

29 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Šklíba Czechia 16 427 361 344 98 72 30 637
Matěj Lövy Czechia 17 365 0.9× 255 0.7× 275 0.8× 117 1.2× 39 0.5× 29 561
Facundo Luna Argentina 15 335 0.8× 141 0.4× 333 1.0× 45 0.5× 50 0.7× 32 551
Joana S. Costa Portugal 8 454 1.1× 85 0.2× 245 0.7× 113 1.2× 65 0.9× 14 878
Michelle Spaulding United States 11 420 1.0× 397 1.1× 250 0.7× 81 0.8× 41 0.6× 14 750
Thomas Lehmann Germany 14 213 0.5× 498 1.4× 210 0.6× 67 0.7× 85 1.2× 54 702
Larisa E. Harding United States 12 345 0.8× 304 0.8× 172 0.5× 117 1.2× 40 0.6× 20 672
Danny Rojas Portugal 14 237 0.6× 229 0.6× 534 1.6× 151 1.5× 69 1.0× 28 744
A. C. Spinks South Africa 15 472 1.1× 378 1.0× 290 0.8× 122 1.2× 63 0.9× 21 659
C. Daniel Antinuchi Argentina 12 317 0.7× 161 0.4× 300 0.9× 24 0.2× 63 0.9× 15 427
Suzanne G. Strait United States 15 342 0.8× 463 1.3× 319 0.9× 34 0.3× 434 6.0× 26 879

Countries citing papers authored by Jan Šklíba

Since Specialization
Citations

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

Fields of papers citing papers by Jan Šklíba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Šklíba

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Šklíba. A scholar is included among the top collaborators of Jan Šklíba 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 Jan Šklíba. Jan Šklíba 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.
Šklíba, Jan, Matěj Lövy, Wilbert N. Chitaukali, & Radim Šumbera. (2025). Seasonal variation of the daily activity patterns in a subterranean rodent in response to underground temperature fluctuations. Mammalian Biology.
2.
Benda, Petr, et al.. (2022). African bats in the collection of the National Museum, Prague (Chiroptera). I. Bats from Zambia. 53(1). 291–332. 6 indexed citations
3.
Šumbera, Radim, Matěj Lövy, Jorgelina Mariño, Petr Šimek, & Jan Šklíba. (2020). Gas composition and its daily changes within burrows and nests of an Afroalpine fossorial rodent, the giant root-rat Tachyoryctes macrocephalus. Zoology. 142. 125819–125819. 5 indexed citations
4.
Šklíba, Jan, et al.. (2019). The giant that makes do with little: small and easy‐to‐leave home ranges found in the giant root‐rat. Journal of Zoology. 310(1). 64–70. 5 indexed citations
5.
Šklíba, Jan, et al.. (2018). Seismic communication in spalacids: signals in the giant root-rat and Gansu zokor.. Hystrix. 29(2). 243–245. 7 indexed citations
6.
Lövy, Matěj, Jan Šklíba, Radim Šumbera, & Eviatar Nevo. (2017). Soil preference in blind mole rats in an area of supposed sympatric speciation: do they choose the fertile or the familiar?. Journal of Zoology. 303(4). 291–300. 10 indexed citations
7.
Šklíba, Jan, Matěj Lövy, Hynek Burda, & Radim Šumbera. (2016). Variability of space-use patterns in a free living eusocial rodent, Ansell’s mole-rat indicates age-based rather than caste polyethism. Scientific Reports. 6(1). 37497–37497. 20 indexed citations
8.
Šklíba, Jan, et al.. (2016). Ecological role of the giant root‐rat (Tachyoryctes macrocephalus) in the Afroalpine ecosystem. Integrative Zoology. 12(4). 333–344. 13 indexed citations
9.
Lövy, Matěj, et al.. (2015). Habitat and Burrow System Characteristics of the Blind Mole Rat Spalax galili in an Area of Supposed Sympatric Speciation. PLoS ONE. 10(7). e0133157–e0133157. 43 indexed citations
10.
Šklíba, Jan, Miloslav Jirkú, & Radim Šumbera. (2015). Burrow systems of mole-rats as refuges for frogs in the Miombo woodlands of south-east Africa. Journal of Tropical Ecology. 32(2). 158–161. 7 indexed citations
11.
Lövy, Matěj, Jan Šklíba, & Radim Šumbera. (2013). Spatial and Temporal Activity Patterns of the Free-Living Giant Mole-Rat (Fukomys mechowii), the Largest Social Bathyergid. PLoS ONE. 8(1). e55357–e55357. 48 indexed citations
12.
Tzur, Shay, Tomáš Pavlı́ček, Radim Šumbera, et al.. (2013). Possible incipient sympatric ecological speciation in blind mole rats (Spalax). Proceedings of the National Academy of Sciences. 110(7). 2587–2592. 47 indexed citations
14.
Šklíba, Jan, et al.. (2012). A maze-lover's dream: Burrow architecture, natural history and habitat characteristics of Ansell's mole-rat (Fukomys anselli). Mammalian Biology. 77(6). 420–427. 34 indexed citations
15.
Šumbera, Radim, et al.. (2010). A seasonal difference of daily energy expenditure in a free-living subterranean rodent, the silvery mole-rat (Heliophobius argenteocinereus; Bathyergidae). Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 158(1). 17–21. 22 indexed citations
16.
Šklíba, Jan, Radim Šumbera, & Wilbert N. Chitaukali. (2010). What determines the way of deposition of excavated soil. ACTA THERIOLOGICA. 55(3). 271–277. 10 indexed citations
17.
Šklíba, Jan, Radim Šumbera, Wilbert N. Chitaukali, & Hynek Burda. (2009). Home‐Range Dynamics in a Solitary Subterranean Rodent. Ethology. 115(3). 217–226. 35 indexed citations
18.
Šumbera, Radim, et al.. (2007). Natural history and burrow system architecture of the silvery mole‐rat fromBrachystegiawoodland. Journal of Zoology. 274(1). 77–84. 44 indexed citations
19.
Šklíba, Jan, Radim Šumbera, Wilbert N. Chitaukali, & Hynek Burda. (2007). Determinants of Daily Activity Patterns in a Free-Living Afrotropical Solitary Subterranean Rodent. Journal of Mammalogy. 88(4). 1009–1016. 40 indexed citations
20.
Šklíba, Jan & Roman Fuchs. (2004). Male CorncrakesCrex crexextend their home ranges by visiting the territories of neighbouring males. Bird Study. 51(2). 113–118. 8 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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