Wiesław Prus-Głowacki

792 total citations
46 papers, 601 citations indexed

About

Wiesław Prus-Głowacki is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Wiesław Prus-Głowacki has authored 46 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 13 papers in Ecology, Evolution, Behavior and Systematics and 12 papers in Nature and Landscape Conservation. Recurrent topics in Wiesław Prus-Głowacki's work include Botany and Plant Ecology Studies (22 papers), Forest ecology and management (10 papers) and Yeasts and Rust Fungi Studies (8 papers). Wiesław Prus-Głowacki is often cited by papers focused on Botany and Plant Ecology Studies (22 papers), Forest ecology and management (10 papers) and Yeasts and Rust Fungi Studies (8 papers). Wiesław Prus-Głowacki collaborates with scholars based in Poland, India and United States. Wiesław Prus-Głowacki's co-authors include Witold Wachowiak, Peter B. Reich, Jacek Oleksyn, Ewa Chudzińska, Alexandru Lucian Curtu, Ricardo Alı́a, Arkadiusz Marciniak, Andrzej Lewandowski, Marian J. Giertych and N. E. Grulke and has published in prestigious journals such as Environmental Pollution, Physiologia Plantarum and Canadian Journal of Forest Research.

In The Last Decade

Wiesław Prus-Głowacki

42 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wiesław Prus-Głowacki Poland 15 266 217 183 165 154 46 601
Maria Margarida Ribeiro Portugal 16 245 0.9× 222 1.0× 150 0.8× 161 1.0× 146 0.9× 45 670
Andrzej Lewandowski Poland 17 370 1.4× 290 1.3× 256 1.4× 206 1.2× 291 1.9× 76 813
Alexis A. Ducousso France 7 258 1.0× 215 1.0× 120 0.7× 233 1.4× 150 1.0× 9 652
Hitoshi Sakio Japan 11 150 0.6× 180 0.8× 142 0.8× 172 1.0× 198 1.3× 45 511
Christopher T. Cole United States 10 257 1.0× 245 1.1× 107 0.6× 156 0.9× 230 1.5× 12 567
Yi‐Gang Song China 17 165 0.6× 202 0.9× 268 1.5× 151 0.9× 235 1.5× 54 666
William S. Dvorak United States 13 123 0.5× 118 0.5× 67 0.4× 150 0.9× 91 0.6× 24 473
Àngel Romo Spain 19 575 2.2× 188 0.9× 123 0.7× 349 2.1× 431 2.8× 81 1.1k
Grzegorz Iszkuło Poland 20 493 1.9× 128 0.6× 157 0.9× 323 2.0× 459 3.0× 66 952
Krystyna M. Urbanska Switzerland 9 272 1.0× 134 0.6× 94 0.5× 211 1.3× 271 1.8× 15 557

Countries citing papers authored by Wiesław Prus-Głowacki

Since Specialization
Citations

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

Fields of papers citing papers by Wiesław Prus-Głowacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wiesław Prus-Głowacki. 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 Wiesław Prus-Głowacki. The network helps show where Wiesław Prus-Głowacki may publish in the future.

Co-authorship network of co-authors of Wiesław Prus-Głowacki

This figure shows the co-authorship network connecting the top 25 collaborators of Wiesław Prus-Głowacki. A scholar is included among the top collaborators of Wiesław Prus-Głowacki 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 Wiesław Prus-Głowacki. Wiesław Prus-Głowacki 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.
Wachowiak, Witold, et al.. (2014). Genetic heterogeneity in age classes of naturally regenerated old growth forest of Picea abies (L.) Karst. Silvae genetica. 63(1-6). 185–190. 5 indexed citations
2.
Chudzińska, Ewa, et al.. (2014). Profil genetyczny najstarszych drzew Picea abies (L.) Karst. w Puszczy Białowieskiej. 158(5). 370–376. 1 indexed citations
3.
Prus-Głowacki, Wiesław, et al.. (2013). Genetic variation of F1 hybrids from controlled crosses between Pinus montana var. rostrata and Pinus sylvestris in anatomical needle traits. Acta Societatis Botanicorum Poloniae. 69(3). 207–214. 3 indexed citations
4.
Szweykowski, Jerzy, et al.. (2013). The genetic structure of Scots pine (Pinus sylvestris L.) population from the top of Szczeliniec Wielki Mt., Central Sudetes. Acta Societatis Botanicorum Poloniae. 63(3-4). 315–324. 2 indexed citations
5.
Chudzińska, Ewa, et al.. (2013). Cross-species amplification and characterization of microsatellite loci in Pinus mugo Turra. Biologia. 68(4). 621–626. 17 indexed citations
6.
Lewandowski, Andrzej, Jarosław Burczyk, Witold Wachowiak, Adam Boratyński, & Wiesław Prus-Głowacki. (2011). Genetic evaluation of seeds of highly endangered Pinus uliginosa Neumann from Węgliniec reserve for ex-situ conservation program. Acta Societatis Botanicorum Poloniae. 74(3). 237–242. 2 indexed citations
7.
Grulke, N. E., et al.. (2007). Isozyme markers associated with O3 tolerance indicate shift in genetic structure of ponderosa and Jeffrey pine in Sequoia National Park, California. Environmental Pollution. 149(3). 366–375. 16 indexed citations
8.
Bączkiewicz, Alina & Wiesław Prus-Głowacki. (2005). Morphological and anatomical variability of isozymatically identified clones of Pinus mugo Turra. Acta Biologica Cracoviensia s Botanica. 47(2). 1 indexed citations
9.
Prus-Głowacki, Wiesław, et al.. (2005). CLONAL STRUCTURE OF SMALL ISOLATED POPULATIONS OF PINUS MUGO TURRA FROM PEATBOGS IN THE TATRA MTS. Acta Biologica Cracoviensia s Botanica. 47(2). 4 indexed citations
10.
11.
Wachowiak, Witold, Andrzej Lewandowski, & Wiesław Prus-Głowacki. (2005). Reciprocal controlled crosses between Pinus sylvestris and P. mugo verified by a species-specific cpDNA marker.. PubMed. 46(1). 41–3. 25 indexed citations
12.
Wachowiak, Witold, et al.. (2004). Species-specific chloroplast DNA polymorphism in the trnV-rbcL region in Pinus sylvestris and P. mugo. Dendrobiology. 51. 67–72. 6 indexed citations
13.
Prus-Głowacki, Wiesław & J. Modrzyński. (2003). Zmiennosc izoenzymatyczna niektorych polskich populacji swierka [Picea abies [L.]Karst.] z doswiadczenia proweniencyjnego IUFRO-1972. Sylwan. 147(3). 3–10. 1 indexed citations
14.
Prus-Głowacki, Wiesław, et al.. (1994). Genetic variation of Pinus sylvestris from Spain in relation to other European populations. Silvae genetica. 43(1). 7–14. 76 indexed citations
15.
Prus-Głowacki, Wiesław, et al.. (1993). Allozyme differentiation in some European populations of Scots pine Pinus sylvestris L.. Genetica Polonica. 34(2). 159–176. 12 indexed citations
16.
Prus-Głowacki, Wiesław, et al.. (1992). Serological investigation of Alnus incana x glutinosa hybrids and their parental species.. Silvae genetica. 41(2). 65–70. 1 indexed citations
17.
Prus-Głowacki, Wiesław, Jerzy Szweykowski, & Renata Nowak. (1985). Serotaxonomical investigation of the European pine species.. Silvae genetica. 34. 162–170. 8 indexed citations
18.
Szweykowski, Jerzy, et al.. (1981). Serological variability in the central European liverwort genus Pellia--a preliminary report. Journal of The Hattori Botanical Laboratory. 269–278. 1 indexed citations
19.
Prus-Głowacki, Wiesław & Dag Rudin. (1981). Studies on antigenic proteins of Pinus sylvestris from six Swedish provenances--a pilot study.. Silvae genetica. 30(6). 200–203. 1 indexed citations
20.

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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