Genė Šurkienė

52 total papers · 417 total citations
24 papers, 275 citations indexed

About

Genė Šurkienė is a scholar working on Public Health, Environmental and Occupational Health, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Genė Šurkienė has authored 24 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Public Health, Environmental and Occupational Health, 7 papers in Sociology and Political Science and 6 papers in General Health Professions. Recurrent topics in Genė Šurkienė's work include Obesity, Physical Activity, Diet (6 papers), Migration and Labor Dynamics (4 papers) and Employment and Welfare Studies (3 papers). Genė Šurkienė is often cited by papers focused on Obesity, Physical Activity, Diet (6 papers), Migration and Labor Dynamics (4 papers) and Employment and Welfare Studies (3 papers). Genė Šurkienė collaborates with scholars based in Lithuania, Germany and Georgia. Genė Šurkienė's co-authors include Rimantas Stukas, K Antia, Volker Winkler, Živilė Lukšiené, Vincentas Giedraitis, Thomas Jaenisch, Olaf Horstick, Peter Dambach, Andreas Deckert and Marija Tamulaitienė and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and BMC Public Health.

In The Last Decade

Genė Šurkienė

20 papers receiving 258 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Genė Šurkienė	63	54	50	46	42	24	275
Lingjun Chen	14 0.2×	36 0.7×	43 0.9×	7 0.2×	42 1.0×	28	328
Debra Brown	36 0.6×	40 0.7×	54 1.1×	47 1.0×	54 1.3×	15	307
Peter Dalum	132 2.1×	41 0.8×	26 0.5×	4 0.1×	72 1.7×	23	318
Eunice Wong	15 0.2×	30 0.6×	86 1.7×	60 1.3×	27 0.6×	22	311
João Feliz Duarte de Moraes	41 0.7×	12 0.2×	49 1.0×	3 0.1×	32 0.8×	24	307
Ediléa Monteiro de Oliveira	54 0.9×	8 0.1×	13 0.3×	10 0.2×	12 0.3×	16	264
Pál Hamar	81 1.3×	26 0.5×	26 0.5×	2 0.0×	97 2.3×	32	325
David Peters	9 0.1×	27 0.5×	34 0.7×	3 0.1×	39 0.9×	22	301
Sabina Ličen	40 0.6×	96 1.8×	58 1.2×	4 0.1×	39 0.9×	47	322
Mariken Leurs	41 0.7×	12 0.2×	33 0.7×	36 0.8×	50 1.2×	20	320

Countries citing papers authored by Genė Šurkienė

Since Specialization

Citations

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

Fields of papers citing papers by Genė Šurkienė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genė Šurkienė

This figure shows the co-authorship network connecting the top 25 collaborators of Genė Šurkienė. A scholar is included among the top collaborators of Genė Šurkienė 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 Genė Šurkienė. Genė Šurkienė is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact