D. Seidel

416 total citations
21 papers, 253 citations indexed

About

D. Seidel is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, D. Seidel has authored 21 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in D. Seidel's work include Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). D. Seidel is often cited by papers focused on Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). D. Seidel collaborates with scholars based in Germany, United Kingdom and United States. D. Seidel's co-authors include M Schenker, A G Ziegler, Juha M. Lahnakoski, Leonhard Schilbach, Dimitris Bolis, Andreas Pfützner, Thomas Först, Thomas Schöndorf, S. Matthäei and Karl Winkler and has published in prestigious journals such as Journal of Clinical Oncology, Diabetes and Atherosclerosis.

In The Last Decade

D. Seidel

18 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Seidel Germany 8 95 67 67 62 39 21 253
Ayça Törel Ergür Türkiye 10 69 0.7× 40 0.6× 105 1.6× 52 0.8× 17 0.4× 31 254
Brian Bordini United States 10 108 1.1× 12 0.2× 51 0.8× 72 1.2× 11 0.3× 11 371
Daria La Torre Sweden 7 157 1.7× 86 1.3× 100 1.5× 47 0.8× 4 0.1× 10 303
Hong N. Bui Netherlands 11 220 2.3× 8 0.1× 50 0.7× 97 1.6× 10 0.3× 14 402
Daniela Staníková Slovakia 9 94 1.0× 123 1.8× 117 1.7× 71 1.1× 3 0.1× 15 258
Manon Bernard Canada 7 36 0.4× 28 0.4× 65 1.0× 61 1.0× 14 0.4× 11 254
Haseeb Rahat United States 11 74 0.8× 53 0.8× 13 0.2× 59 1.0× 28 0.7× 19 362
Marion Valette France 8 35 0.4× 73 1.1× 135 2.0× 70 1.1× 16 0.4× 21 301
Rachel Harrison United Kingdom 8 25 0.3× 15 0.2× 64 1.0× 90 1.5× 14 0.4× 13 242
Gianluca Piccolo Italy 8 49 0.5× 27 0.4× 72 1.1× 90 1.5× 8 0.2× 30 254

Countries citing papers authored by D. Seidel

Since Specialization
Citations

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

Fields of papers citing papers by D. Seidel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Seidel

This figure shows the co-authorship network connecting the top 25 collaborators of D. Seidel. A scholar is included among the top collaborators of D. Seidel 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 D. Seidel. D. Seidel 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.
Bolis, Dimitris, et al.. (2020). Interpersonal similarity of autistic traits predicts friendship quality. Social Cognitive and Affective Neuroscience. 16(1-2). 222–231. 43 indexed citations
2.
Schaller, Martin, Michael Sebastian, Claudia Ress, D. Seidel, & Michael Hennig. (2016). A multicentre, randomized, single‐blind, parallel‐group study comparing the efficacy and tolerability of benzoyl peroxide 3%/clindamycin 1% with azelaic acid 20% in the topical treatment of mild‐to‐moderate acne vulgaris. Journal of the European Academy of Dermatology and Venereology. 30(6). 966–973. 22 indexed citations
3.
Thiery, Joachim, et al.. (2008). Wirksamkeit und Verträglichkeit von Lovastatin bei primärer Hypercholesterinämie. DMW - Deutsche Medizinische Wochenschrift. 116(23). 887–894. 1 indexed citations
4.
Rosenstock, Julio, Hubert S. Chou, S. Matthäei, D. Seidel, & A. Hamann. (2008). Potential benefits of early addition of rosiglitazone in combination with glimepiride in the treatment of type 2 diabetes. Diabetes Obesity and Metabolism. 10(10). 862–873. 3 indexed citations
5.
Pfützner, Andreas, Nikolaus Marx, Daniel Walcher, et al.. (2008). Impact of rosiglitazone on visfatin and adiponectin plasma concentrations in patients with type 2 diabetes and coronary artery disease.. PubMed. 54(7-8). 237–41. 10 indexed citations
6.
Rosak, C., Eberhard Standl, Tjark Reblin, Holger Stammer, & D. Seidel. (2006). Rosiglitazone is effective and well-tolerated in a range of therapeutic regimens during daily practice in patients with type 2 diabetes. International Journal of Clinical Practice. 60(9). 1040–1047. 7 indexed citations
7.
Pfützner, Andreas, Thomas Schöndorf, D. Seidel, et al.. (2005). Impact of rosiglitazone on beta-cell function, insulin resistance, and adiponectin concentrations: results from a double-blind oral combination study with glimepiride. Metabolism. 55(1). 20–25. 54 indexed citations
8.
Rosak, C., R. Petzoldt, Robert Wolf, et al.. (2005). Rosiglitazone plus metformin is effective and well tolerated in clinical practice: results from large observational studies in people with type 2 diabetes. International Journal of Clinical Practice. 59(10). 1131–1136. 20 indexed citations
9.
Holdenrieder, Stefan, P Stieber, Joachim von Pawel, et al.. (2004). Early prediction of response to chemotherapy by circulating nucleosomes and CYFRA 21–1. Journal of Clinical Oncology. 22(14_suppl). 7149–7149.
10.
Walter, Andreas, Caroline Reuter, Peter Fraunberger, D. Seidel, & Autar K. Walli. (2000). Hypocholesterolemia in cancer. Atherosclerosis. 151(1). 319–319.
11.
Seidel, D., H.C. Geiss, Markus G. Donner, et al.. (1998). Course of Islet Autoantibody Titers During Ig-immunoadsorption in a Patient with Newly Diagnosed Type 1 Diabetes. Journal of Autoimmunity. 11(3). 273–277. 11 indexed citations
12.
Seidel, D., et al.. (1998). GADIA2-combi determination as first-line screening for improved prediction of type 1 diabetes in relatives.. Diabetes. 47(4). 592–597. 56 indexed citations
13.
Seidel, D. & P. Schuff‐Werner. (1996). THE H.E.L.P.SYSTEM : CLINICAL EXPERIENCE OF 10 YEARS - A REPORT :. 15. 3 indexed citations
14.
Naserke, Heike E., et al.. (1996). The T-cell receptor beta chain CDR3 region of BV8S1/BJ1S5 transcripts in type 1 diabetes. Immunogenetics. 45(2). 87–96. 5 indexed citations
15.
Seidel, D. & Anette‐Gabriele Ziegler. (1996). Prediction of Type 1 Diabetes. Hormone Research. 45(1). 36–39. 2 indexed citations
16.
Fraunberger, Peter, Autar K. Walli, & D. Seidel. (1996). Stellenwert von Zytokinen in der Sepsis-Diagnostik. Transfusion Medicine and Hemotherapy. 23(Suppl. 4). 109–116. 2 indexed citations
17.
Abendroth, D., et al.. (1994). Long-term follow-up of lipid metabolism and rheologic properties after successful pancreas and kidney transplantation. Transplant International. 7(s1). 417–419. 2 indexed citations
18.
Stibbe, W., et al.. (1985). Automatisierte Thrombocytenzähung an thrombocytopenischen Patienten. Ein Methodenvergleich. Clinical Chemistry and Laboratory Medicine (CCLM). 23(7). 7 indexed citations
19.
Seidel, D.. (1975). [Lipoproteins in liver diseases].. PubMed. 26(47). 2131–3. 2 indexed citations
20.
Themann, H., et al.. (1969). [Electron microscopic observations on the effect of antilymphocyte serum].. PubMed. 139(4). 409–20. 2 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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