Eva Bidlas

642 total citations
8 papers, 512 citations indexed

About

Eva Bidlas is a scholar working on Biotechnology, Food Science and Plant Science. According to data from OpenAlex, Eva Bidlas has authored 8 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biotechnology, 3 papers in Food Science and 3 papers in Plant Science. Recurrent topics in Eva Bidlas's work include Listeria monocytogenes in Food Safety (4 papers), Plant Pathogenic Bacteria Studies (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). Eva Bidlas is often cited by papers focused on Listeria monocytogenes in Food Safety (4 papers), Plant Pathogenic Bacteria Studies (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). Eva Bidlas collaborates with scholars based in Switzerland, United Kingdom and Belgium. Eva Bidlas's co-authors include R.J.W. Lambert, Han Joosten, Angelika Lehner, Ilse Cleenwerck, Séamus Fanning, Joey D. Marugg, Roger Stephan, Carol Iversen, R. Lambert and Ting Du and has published in prestigious journals such as Applied and Environmental Microbiology, International Journal of Food Microbiology and BMC Evolutionary Biology.

In The Last Decade

Eva Bidlas

8 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Bidlas Switzerland	8	268	120	119	78	57	8	512
Mats Peterz Sweden	9	272 1.0×	184 1.5×	195 1.6×	23 0.3×	39 0.7×	16	547
Sofía M. Arvizu‐Medrano Mexico	12	68 0.3×	229 1.9×	108 0.9×	41 0.5×	61 1.1×	31	382
Rosemary Whyte New Zealand	6	39 0.1×	210 1.8×	75 0.6×	180 2.3×	17 0.3×	7	418
Yangjin Jung United States	10	78 0.3×	211 1.8×	185 1.6×	36 0.5×	49 0.9×	23	369
C.L. Woodward United States	16	45 0.2×	267 2.2×	85 0.7×	347 4.4×	105 1.8×	36	632
Elizabeth Szabo Australia	10	26 0.1×	238 2.0×	289 2.4×	78 1.0×	111 1.9×	14	538
Olga Valciņa Latvia	11	87 0.3×	130 1.1×	73 0.6×	35 0.4×	72 1.3×	27	434
Errol V. Raghubeer United States	7	64 0.2×	94 0.8×	128 1.1×	14 0.2×	41 0.7×	8	248
M R Clavero United States	10	92 0.3×	644 5.4×	564 4.7×	173 2.2×	118 2.1×	12	850
Felice Panebianco Italy	12	20 0.1×	152 1.3×	100 0.8×	37 0.5×	39 0.7×	27	361

Countries citing papers authored by Eva Bidlas

Since Specialization

Citations

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

Fields of papers citing papers by Eva Bidlas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Bidlas

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

All Works

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8 of 8 papers shown

Bidlas, Eva & R.J.W. Lambert. (2008). Quantification of hurdles: Predicting the combination of effects — Interaction vs. non-interaction. International Journal of Food Microbiology. 128(1). 78–88. 13 indexed citations

Bidlas, Eva & R.J.W. Lambert. (2008). Comparing the antimicrobial effectiveness of NaCl and KCl with a view to salt/sodium replacement. International Journal of Food Microbiology. 124(1). 98–102. 110 indexed citations

Bidlas, Eva, Ting Du, & R. Lambert. (2008). An explanation for the effect of inoculum size on MIC and the growth/no growth interface. International Journal of Food Microbiology. 126(1-2). 140–152. 41 indexed citations

Iversen, Carol, Angelika Lehner, Eva Bidlas, et al.. (2007). The taxonomy of Enterobacter sakazakii: proposal of a new genus Cronobacter gen. nov. and descriptions of Cronobacter sakazakii comb. nov. Cronobacter sakazakii subsp. sakazakii, comb. nov., Cronobacter sakazakii subsp. malonaticus subsp. nov., Cronobacter turicensis sp. nov., Cronobacter muytjensii sp. nov., Cronobacter dublinensis sp. nov. and Cronobacter genomospecies 1. BMC Evolutionary Biology. 7(1). 64–64. 269 indexed citations

Lambert, R.J.W. & Eva Bidlas. (2007). Gamma Study of pH, Nitrite, and Salt Inhibition of Aeromonas hydrophila. Applied and Environmental Microbiology. 73(7). 2239–2246. 12 indexed citations

Lambert, R. & Eva Bidlas. (2006). A study of the Gamma hypothesis: Predictive modelling of the growth and inhibition of Enterobacter sakazakii. International Journal of Food Microbiology. 115(2). 204–213. 29 indexed citations

Lambert, R.J.W. & Eva Bidlas. (2006). An investigation of the Gamma hypothesis: A predictive modelling study of the effect of combined inhibitors (salt, pH and weak acids) on the growth of Aeromonas hydrophila. International Journal of Food Microbiology. 115(1). 12–28. 29 indexed citations

Joosten, Han, et al.. (2006). Salmonella detection in probiotic products. International Journal of Food Microbiology. 110(1). 104–107. 9 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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