E. Popa

581 total citations
8 papers, 437 citations indexed

About

E. Popa is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Nuclear and High Energy Physics. According to data from OpenAlex, E. Popa has authored 8 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Nuclear and High Energy Physics. Recurrent topics in E. Popa's work include Advanced MRI Techniques and Applications (6 papers), NMR spectroscopy and applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). E. Popa is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), NMR spectroscopy and applications (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). E. Popa collaborates with scholars based in France, Netherlands and Belgium. E. Popa's co-authors include D. Graveron‐Demilly, D. van Ormondt, Oliver Štrbák, Zenon Starčuk, Miquel E. Cabañas, S. R. Williams, E. Vescovo, Andrii Lazariev, Zeno Simon and Randall D. Beer and has published in prestigious journals such as Cells, Measurement Science and Technology and Journal of Biological Systems.

In The Last Decade

E. Popa

7 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Popa France	5	257	113	88	62	51	8	437
Timo Schirmer Germany	9	318 1.2×	61 0.5×	95 1.1×	38 0.6×	53 1.0×	15	528
Markus Wick Germany	7	287 1.1×	129 1.1×	58 0.7×	59 1.0×	42 0.8×	10	502
Martin Gajdošík Austria	15	262 1.0×	100 0.9×	127 1.4×	58 0.9×	28 0.5×	32	448
Yasvir A. Tesiram United States	14	152 0.6×	150 1.3×	58 0.7×	48 0.8×	20 0.4×	28	515
L. Ligeti Hungary	14	263 1.0×	123 1.1×	89 1.0×	59 1.0×	17 0.3×	40	553
B Hubesch United States	13	428 1.7×	102 0.9×	138 1.6×	39 0.6×	38 0.7×	13	565
Dorothy A. Adams United States	10	220 0.9×	106 0.9×	66 0.8×	35 0.6×	44 0.9×	15	444
Hana Lahrech France	15	308 1.2×	153 1.4×	56 0.6×	27 0.4×	11 0.2×	29	673
Fernando Arias‐Mendoza United States	16	359 1.4×	187 1.7×	179 2.0×	83 1.3×	21 0.4×	39	723
Gerd Melkus Canada	22	381 1.5×	173 1.5×	98 1.1×	55 0.9×	11 0.2×	71	1.2k

Countries citing papers authored by E. Popa

Since Specialization

Citations

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

Fields of papers citing papers by E. Popa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Popa

This figure shows the co-authorship network connecting the top 25 collaborators of E. Popa. A scholar is included among the top collaborators of E. Popa 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 E. Popa. E. Popa 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

1.

Popa, E., Hélène Cheval, & Violetta Zujovic. (2025). Cues of Trained Immunity in Multiple Sclerosis Macrophages. Cells. 14(14). 1054–1054.

2.

Popa, E., D.A. Karras, B.G. Mertzios, et al.. (2011). Semi-parametric estimation without searching in function space: application toin vivometabolite quantitation. Measurement Science and Technology. 22(11). 114014–114014. 2 indexed citations

3.

Popa, E., D.A. Karras, B.G. Mertzios, et al.. (2010). Handling arbitrary unknown lineshape in in vivo MRS without searching in function space. 361–364. 2 indexed citations

4.

Popa, E., Enrico Capobianco, Randall D. Beer, D. van Ormondt, & D. Graveron‐Demilly. (2009). In vivo quantitation of metabolites with an incomplete model function. Measurement Science and Technology. 20(10). 104032–104032. 8 indexed citations

5.

Popa, E., Andrii Lazariev, E. Vescovo, et al.. (2009). Quantitation of magnetic resonance spectroscopy signals: the jMRUI software package. Measurement Science and Technology. 20(10). 104035–104035. 382 indexed citations

6.

Popa, E., Oliver Štrbák, Zenon Starčuk, et al.. (2008). jMRUI Version 4 : A plug-in platform. 14. 346–348. 7 indexed citations

7.

Popa, E., D. Graveron‐Demilly, Enrico Capobianco, Randall D. Beer, & D. van Ormondt. (2008). Lineshape estimation in in vivo MR Spectroscopy without using a reference signal. 14. 315–320. 4 indexed citations

8.

Simon, Zeno, et al.. (2000). POSSIBLE OSCILLATORY BEHAVIOR IN P53–MDM2 INTERACTION COMPUTER SIMULATION. Journal of Biological Systems. 8(1). 21–29. 32 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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