S. Diekmann

762 total citations
24 papers, 541 citations indexed

About

S. Diekmann is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, S. Diekmann has authored 24 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 7 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in S. Diekmann's work include AI in cancer detection (7 papers), Digital Radiography and Breast Imaging (6 papers) and Advanced X-ray and CT Imaging (3 papers). S. Diekmann is often cited by papers focused on AI in cancer detection (7 papers), Digital Radiography and Breast Imaging (6 papers) and Advanced X-ray and CT Imaging (3 papers). S. Diekmann collaborates with scholars based in Germany, Switzerland and United States. S. Diekmann's co-authors include Felix Diekmann, Randolf Klingebiel, Georg Böhner, Eberhard Siebert, Hans-Christian Bauknecht, P. Dános, B. Baumann, Dieter Krell, B. Bogerts and F. Engelken and has published in prestigious journals such as Annals of the New York Academy of Sciences, European Heart Journal and Psychological Medicine.

In The Last Decade

S. Diekmann

23 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Diekmann Germany 12 196 142 118 106 85 24 541
Mark J.R.J. Bouts Netherlands 15 190 1.0× 114 0.8× 60 0.5× 35 0.3× 203 2.4× 25 614
Walter M. Palm Netherlands 11 239 1.2× 75 0.5× 119 1.0× 32 0.3× 127 1.5× 17 684
Tianyu Tang China 19 367 1.9× 146 1.0× 70 0.6× 75 0.7× 53 0.6× 43 932
Oliver S. Großer Germany 15 352 1.8× 119 0.8× 56 0.5× 92 0.9× 36 0.4× 47 699
Marco Düring Germany 11 95 0.5× 71 0.5× 45 0.4× 63 0.6× 170 2.0× 20 485
Sreekanth Kura United States 15 240 1.2× 72 0.5× 164 1.4× 97 0.9× 180 2.1× 35 701
Zahra Shirzadi Canada 15 172 0.9× 91 0.6× 47 0.4× 90 0.8× 154 1.8× 33 601
Aurélie Kas France 15 180 0.9× 134 0.9× 53 0.4× 43 0.4× 153 1.8× 34 814
Jiance Li China 13 295 1.5× 108 0.8× 23 0.2× 36 0.3× 46 0.5× 29 511
Neda Sadeghi United States 14 281 1.4× 78 0.5× 79 0.7× 14 0.1× 81 1.0× 46 715

Countries citing papers authored by S. Diekmann

Since Specialization
Citations

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

Fields of papers citing papers by S. Diekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Diekmann

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

All Works

20 of 20 papers shown
1.
Diekmann, S., et al.. (2024). Gesundheitsökonomische Evaluation einer rehabilitativen Kurzzeitpflege. Zeitschrift für Gerontologie und Geriatrie. 57(6). 475–481. 1 indexed citations
2.
Elsanhoury, Ahmed, S. Diekmann, Uwe Kuehl, et al.. (2023). A biopsy-based pilot clinical study: monitoring the effectiveness of tafamidis treatment of patients with transthyretin amyloid cardiomyopathy. European Heart Journal. 44(Supplement_2).
3.
Schatka, Imke, Daniel Messroghli, Fabian Knebel, et al.. (2021). An optimized imaging protocol for [99mTc]Tc-DPD scintigraphy and SPECT/CT quantification in cardiac transthyretin (ATTR) amyloidosis. Journal of Nuclear Cardiology. 28(6). 2483–2496. 8 indexed citations
4.
5.
Diekmann, S., Eberhard Siebert, Hans-Christian Bauknecht, et al.. (2010). Dose Exposure of Patients Undergoing Comprehensive Stroke Imaging by Multidetector-Row CT: Comparison of 320-Detector Row and 64-Detector Row CT Scanners. American Journal of Neuroradiology. 31(6). 1003–1009. 79 indexed citations
6.
Bauknecht, Hans-Christian, Eberhard Siebert, Andrew J. Dannenberg, et al.. (2010). Image quality and radiation exposure in 320-row temporal bone computed tomography. Dentomaxillofacial Radiology. 39(4). 199–206. 21 indexed citations
7.
Siebert, Eberhard, Georg Böhner, Marc Dewey, et al.. (2009). 320-slice CT neuroimaging: initial clinical experience and image quality evaluation. British Journal of Radiology. 82(979). 561–570. 104 indexed citations
8.
Arrieta, Antonio, et al.. (2007). O141 Micafungin versus liposomal amphotericin B (AmBisome ®) in paediatric patients with invasive candidiasis or candidaemia. International Journal of Antimicrobial Agents. 29. S28–S28. 4 indexed citations
9.
Diekmann, S. & Felix Diekmann. (2007). Mammographiescreening in Deutschland. Der Radiologe. 48(1). 17–25. 12 indexed citations
10.
Diekmann, Felix, S. Diekmann, Ulrich Bick, et al.. (2004). Near monochromatic X-rays for digital slot-scan mammography: initial findings. European Radiology. 14(9). 1641–6. 14 indexed citations
11.
Diekmann, Felix, S. Diekmann, Matthias Taupitz, et al.. (2003). Use of Iodine-based Contrast Media in Digital Full-field Mammography - Initial Experience. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 175(3). 342–345. 30 indexed citations
12.
Diekmann, Felix, et al.. (2003). Dosiseinsparung durch rasterlose Technik in der digitalen Vollfeldmammographie. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 175(6). 769–774. 5 indexed citations
13.
Diekmann, S., et al.. (2003). Visualisierung von Mikrokalzifikationen in digitaler Vollfeldmammographie im Vergleich zu konventioneller Film-Folien-Mammographie. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 175(6). 775–779. 11 indexed citations
14.
Bernstein, Hans‐Gert, Dieter Krell, Christian Mawrin, et al.. (2002). Further Immunohistochemical Evidence for Impaired NO Signaling in the Hypothalamus of Depressed Patients. Annals of the New York Academy of Sciences. 973(1). 91–93. 33 indexed citations
15.
Hg, Bernstein, Dieter Krell, B. Baumann, et al.. (2002). Fewer beta-endorphin expressing arcuate nucleus neurons and reduced beta-endorphinergic innervation of paraventricular neurons in schizophrenics and patients with depression.. PubMed. 48 Online Pub. OL259–65. 26 indexed citations
16.
Baumann, B., Hendrik Bielau, Dieter Krell, et al.. (2002). Circumscribed numerical deficit of dorsal raphe neurons in mood disorders. Psychological Medicine. 32(1). 93–103. 65 indexed citations
17.
Diekmann, Felix, S. Diekmann, Ulrich Bick, et al.. (2002). Vergleich der Visualisierung von Mikroverkalkungen durch Vergrößerungsaufnahmen in digitaler Vollfeldmammographie und konventioneller Mammographie. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 174(3). 297–300. 10 indexed citations
18.
Bernstein, Hans‐Gert, Gustav F. Jirikowski, B. Baumann, et al.. (2000). Low and infrequent expression of nitric oxide synthase/NADPH-diaphorase in neurons of the human supraoptic nucleus: a histochemical study. Journal of Chemical Neuroanatomy. 20(2). 177–183. 14 indexed citations
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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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