Eva Wahlström

37 total papers · 906 total citations
23 papers, 744 citations indexed

About

Eva Wahlström is a scholar working on Molecular Biology, Microbiology and Genetics. According to data from OpenAlex, Eva Wahlström has authored 23 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Microbiology and 7 papers in Genetics. Recurrent topics in Eva Wahlström's work include Reproductive tract infections research (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Social and Educational Sciences (3 papers). Eva Wahlström is often cited by papers focused on Reproductive tract infections research (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Social and Educational Sciences (3 papers). Eva Wahlström collaborates with scholars based in Finland, United States and Poland. Eva Wahlström's co-authors include Matti Sarvas, Vesa P. Kontinen, Marjatta Nurminen, Pekka Saikku, Marika Vitikainen, P. Helena Mäkelä, M. Leinonen, Ulla Airaksinen, Mirja Puolakkainen and Maija Leinonen and has published in prestigious journals such as The EMBO Journal, Journal of Bacteriology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Eva Wahlström

20 papers receiving 690 citations

Author Peers

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

Author						Papers	Cites
Eva Wahlström	334	236	204	173	116	23	744
Deborah M. B. Post	344 1.0×	336 1.4×	143 0.7×	152 0.9×	146 1.3×	22	776
A. J. Duncan	404 1.2×	121 0.5×	101 0.5×	118 0.7×	90 0.8×	26	796
Joanne E. Thwaite	410 1.2×	224 0.9×	137 0.7×	96 0.6×	85 0.7×	19	806
Martin Lappann	376 1.1×	298 1.3×	74 0.4×	167 1.0×	76 0.7×	11	702
Tomas Söderblom	288 0.9×	255 1.1×	129 0.6×	187 1.1×	99 0.9×	11	831
M. Mahbubur Rahman	296 0.9×	367 1.6×	158 0.8×	257 1.5×	127 1.1×	25	868
Kathleen T. Hackett	270 0.8×	389 1.6×	240 1.2×	78 0.5×	72 0.6×	25	781
Wade A. Nichols	228 0.7×	291 1.2×	77 0.4×	223 1.3×	119 1.0×	19	656
Linda B. Gilleland	316 0.9×	156 0.7×	69 0.3×	109 0.6×	109 0.9×	19	766
Azad Ahmed	308 0.9×	307 1.3×	60 0.3×	361 2.1×	34 0.3×	29	866

Countries citing papers authored by Eva Wahlström

Since Specialization

Citations

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

Fields of papers citing papers by Eva Wahlström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Wahlström

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

All Works

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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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