Dagmar Salber

858 total citations
16 papers, 692 citations indexed

About

Dagmar Salber is a scholar working on Spectroscopy, Analytical Chemistry and Computational Mechanics. According to data from OpenAlex, Dagmar Salber has authored 16 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 7 papers in Analytical Chemistry and 6 papers in Computational Mechanics. Recurrent topics in Dagmar Salber's work include Analytical chemistry methods development (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Ion-surface interactions and analysis (6 papers). Dagmar Salber is often cited by papers focused on Analytical chemistry methods development (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Ion-surface interactions and analysis (6 papers). Dagmar Salber collaborates with scholars based in Germany, United States and Bulgaria. Dagmar Salber's co-authors include J. Sabine Becker, Andreas Matusch, Christoph Palm, J. Susanne Becker, Bei Wu, Miroslav Zoriy, Karl‐Josef Langen, Kathryn A. Morton, Gabriele Stoffels and N. Jon Shah and has published in prestigious journals such as TrAC Trends in Analytical Chemistry, Physics in Medicine and Biology and Journal of Nuclear Medicine.

In The Last Decade

Dagmar Salber

16 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dagmar Salber Germany	11	247	241	151	121	108	16	692
Héctor González‐Iglesias Spain	18	172 0.7×	198 0.8×	49 0.3×	83 0.7×	318 2.9×	66	959
Fred Fryer Australia	10	157 0.6×	248 1.0×	73 0.5×	23 0.2×	59 0.5×	13	482
Xiaodan Tian China	15	116 0.5×	164 0.7×	33 0.2×	75 0.6×	154 1.4×	20	704
M. Estela del Castillo Busto Spain	16	202 0.8×	162 0.7×	18 0.1×	10 0.1×	187 1.7×	26	706
Olga Reifschneider Germany	12	119 0.5×	168 0.7×	81 0.5×	36 0.3×	33 0.3×	14	340
Kai P. Law China	16	278 1.1×	100 0.4×	108 0.7×	34 0.3×	282 2.6×	21	863
Juan Fernández-García United States	12	204 0.8×	65 0.3×	57 0.4×	8 0.1×	287 2.7×	24	1.0k
Stéphane Roudeau France	18	50 0.2×	43 0.2×	22 0.1×	49 0.4×	147 1.4×	38	910
Heike Traub Germany	17	219 0.9×	284 1.2×	145 1.0×	29 0.2×	185 1.7×	36	751
Norbert Jakubowski Germany	10	123 0.5×	110 0.5×	48 0.3×	63 0.5×	106 1.0×	12	359

Countries citing papers authored by Dagmar Salber

Since Specialization

Citations

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

Fields of papers citing papers by Dagmar Salber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Salber

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

All Works

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16 of 16 papers shown

Becker, Johanna Sabine, Andreas Matusch, Bei Wu, et al.. (2011). Mass spectrometric imaging (MSI) of metals using advanced BrainMet techniques for biomedical research. International Journal of Mass Spectrometry. 307(1-3). 3–15. 36 indexed citations

Mesko, Márcia F., Dagmar Salber, Dirce Pozebon, Valderi L. Dressler, & J. Sabine Becker. (2011). Evaluation of metal distributions in small samples of mouse brain lesions (hematoma) by inductively coupled plasma mass spectrometry after sampling by laser microdissection (LMD). International Journal of Mass Spectrometry. 307(1-3). 137–141. 3 indexed citations

Salber, Dagmar, et al.. (2011). IMAGENA: Image Generation and Analysis – An interactive software tool handling LA-ICP-MS data. International Journal of Mass Spectrometry. 307(1-3). 232–239. 37 indexed citations

Becker, J. Sabine & Dagmar Salber. (2010). New mass spectrometric tools in brain research. TrAC Trends in Analytical Chemistry. 29(9). 966–979. 39 indexed citations

Salber, Dagmar, Gabriele Stoffels, Ana‐Maria Oros‐Peusquens, et al.. (2010). Comparison of O-(2-¹⁸F-Fluoroethyl)-l-Tyrosine and l-³H-Methionine Uptake in Cerebral Hematomas. Journal of Nuclear Medicine. 51(5). 790–797. 23 indexed citations

Becker, J. Sabine, Andreas Matusch, Bei Wu, et al.. (2010). Scaling down the bioimaging of metals by laser microdissection inductively coupled plasma mass spectrometry (LMD-ICP-MS). International Journal of Mass Spectrometry. 294(1). 1–6. 28 indexed citations

Becker, J. Sabine, J. Susanne Becker, Miroslav Zoriy, et al.. (2009). Bioimaging of metals by laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS). Mass Spectrometry Reviews. 29(1). 156–175. 251 indexed citations

Becker, J. Sabine, Andreas Matusch, Christoph Palm, et al.. (2009). Bioimaging of metals in brain tissue by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) and metallomics. Metallomics. 2(2). 104–111. 115 indexed citations

Palm, Christoph, et al.. (2009). Evaluation of registration strategies for multi-modality images of rat brain slices. Physics in Medicine and Biology. 54(10). 3269–3289. 8 indexed citations

10.

Meyer, Philipp T., Dagmar Salber, Johannes Schiefer, et al.. (2008). Comparison of intravenous and intraperitoneal [123I]IBZM injection for dopamine D2 receptor imaging in mice. Nuclear Medicine and Biology. 35(5). 543–548. 7 indexed citations

11.

Stoffels, Gabriele, D. Pauleit, Rainer Haas, et al.. (2008). cis-4-[18F]-Fluoro-l-proline fails to detect peripheral tumors in humans. Nuclear Medicine and Biology. 35(8). 895–900. 6 indexed citations

12.

Salber, Dagmar, Johannes Gunawan, Karl‐Josef Langen, et al.. (2008). Comparison of ^99mTc- and ¹⁸F-Ubiquicidin Autoradiography to Anti–Staphylococcus aureus Immunofluorescence in Rat Muscle Abscesses. Journal of Nuclear Medicine. 49(6). 995–999. 13 indexed citations

13.

Meyer, Philipp T., Dagmar Salber, Johannes Schiefer, et al.. (2008). Cerebral kinetics of the dopamine D2 receptor ligand [123I]IBZM in mice. Nuclear Medicine and Biology. 35(4). 467–473. 5 indexed citations

14.

Salber, Dagmar, Gabriele Stoffels, D. Pauleit, et al.. (2007). Differential Uptake of O-(2-18F-Fluoroethyl)-L-Tyrosine, L-3H-Methionine, and 3H-Deoxyglucose in Brain Abscesses. Journal of Nuclear Medicine. 48(12). 2056–2062. 68 indexed citations

15.

Langen, Karl‐Josef, Dagmar Salber, K. Hamacher, et al.. (2007). Detection of Secondary Thalamic Degeneration After Cortical Infarction Using cis-4-18F-Fluoro- D-Proline. Journal of Nuclear Medicine. 48(9). 1482–1491. 20 indexed citations

16.

Salber, Dagmar, Gabriele Stoffels, D. Pauleit, et al.. (2006). Differential uptake of [18F]FET and [3H]l-methionine in focal cortical ischemia. Nuclear Medicine and Biology. 33(8). 1029–1035. 33 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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