D.K. Schroder

11.0k total citations · 2 hit papers
176 papers, 7.6k citations indexed

About

D.K. Schroder is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Surgery. According to data from OpenAlex, D.K. Schroder has authored 176 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Electrical and Electronic Engineering, 34 papers in Atomic and Molecular Physics, and Optics and 33 papers in Surgery. Recurrent topics in D.K. Schroder's work include Semiconductor materials and devices (71 papers), Advancements in Semiconductor Devices and Circuit Design (59 papers) and Integrated Circuits and Semiconductor Failure Analysis (43 papers). D.K. Schroder is often cited by papers focused on Semiconductor materials and devices (71 papers), Advancements in Semiconductor Devices and Circuit Design (59 papers) and Integrated Circuits and Semiconductor Failure Analysis (43 papers). D.K. Schroder collaborates with scholars based in United States, Germany and Japan. D.K. Schroder's co-authors include Jeff A. Babcock, John H. Lawton, H.C. Nathanson, Samir El‐Ghazaly, M. Dydyk, Dragica Vasileska, D. K. Ferry, Eiichi Suzuki, Yutaka Hayashi and Ingrid Klöting and has published in prestigious journals such as Nature, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

D.K. Schroder

162 papers receiving 7.1k citations

Hit Papers

Semiconductor Material an... 2003 2026 2010 2018 2005 2003 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
D.K. Schroder 6.2k 1.8k 1.8k 750 482 176 7.6k
R. Mertens 6.0k 1.0× 1.8k 1.0× 1.9k 1.1× 1.8k 2.3× 391 0.8× 409 7.4k
H. A. Macleod 3.5k 0.6× 1.4k 0.8× 1.7k 1.0× 1.6k 2.2× 705 1.5× 112 6.3k
Jun Luo 2.7k 0.4× 1.1k 0.6× 959 0.5× 615 0.8× 449 0.9× 479 4.7k
Elefterios Lidorikis 2.3k 0.4× 1.9k 1.1× 2.0k 1.1× 1.9k 2.5× 1.0k 2.1× 107 4.9k
Shawn-Yu Lin 3.4k 0.6× 933 0.5× 4.3k 2.4× 1.7k 2.3× 936 1.9× 113 6.4k
Todd F. Dupont 5.9k 0.9× 1.7k 1.0× 688 0.4× 3.4k 4.6× 891 1.8× 39 8.9k
Robert D. Deegan 6.6k 1.1× 1.9k 1.0× 791 0.4× 3.8k 5.1× 1.0k 2.1× 36 9.5k
Theresa S. Mayer 4.2k 0.7× 2.6k 1.4× 2.0k 1.1× 3.3k 4.3× 1.7k 3.6× 191 7.8k
A. G. U. Perera 2.4k 0.4× 853 0.5× 2.0k 1.1× 536 0.7× 293 0.6× 222 3.3k
Mischa Megens 1.4k 0.2× 737 0.4× 1.5k 0.8× 1.1k 1.4× 417 0.9× 61 3.0k

Countries citing papers authored by D.K. Schroder

Since Specialization
Citations

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

Fields of papers citing papers by D.K. Schroder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.K. Schroder

This figure shows the co-authorship network connecting the top 25 collaborators of D.K. Schroder. A scholar is included among the top collaborators of D.K. Schroder 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.K. Schroder. D.K. Schroder 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.
Mikuteit, Marie, D.K. Schroder, Stephanie Heinemann, et al.. (2024). Cluster analysis of long COVID symptoms for deciphering a syndrome and its long-term consequence. Immunologic Research. 72(4). 605–613. 3 indexed citations
2.
Herff, Holger, Andreas Schneider, D.K. Schroder, Wolfgang A. Wetsch, & Bernd W. Böttiger. (2015). Therapeutische Hypothermie im Jahr 2015. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 111(1). 47–51. 3 indexed citations
3.
Schroder, D.K., B Hehmke, Ingrid Klöting, W. Besch, & S. Schmidt. (2009). Humoral-Mediated Anti-Islet Cytotoxicity in Diabetes-Prone BB/OK Rats-Effect on β-Cell Function and Autologous Islets1, 2). Experimental and Clinical Endocrinology & Diabetes. 95(1). 22–30.
4.
Schroder, D.K., B Hehmke, Ingrid Klöting, & W. Besch. (2009). Effect of Serum from Diabetes-Prone BB/OK Rats on Neonatal Rat Pancreatic Islets and Islet Cell Suspensions. Experimental and Clinical Endocrinology & Diabetes. 93(02/03). 187–192.
5.
6.
Schroder, D.K., et al.. (2006). Quality Assurance for Mined and Survey Areas. JMU Scholoraly Commons (James Madison University).
7.
Wachlin, Gerhild, Petra Augstein, D.K. Schroder, et al.. (2003). IL-1β, IFN-γ and TNF-α increase vulnerability of pancreatic beta cells to autoimmune destruction. Journal of Autoimmunity. 20(4). 303–312. 86 indexed citations
8.
Jank, Siegfried, D.K. Schroder, Klaus Laimer, et al.. (2003). Kiefergelenkbeschwerden bei juvenilen Patienten mit rheumatischen Erkrankungen. Mund- Kiefer- und Gesichtschirurgie. 7(4). 214–219. 4 indexed citations
9.
Schroder, D.K., Michael Weiser, & Peter Klein. (2002). Efficacy of a Homeopathic Crataegus Preparation Compared with Usual Therapy for Mild (NYHA II) Cardiac Insufficiency: Results of an Observational Cohort Study. European Journal of Heart Failure. 5(3). 319–326. 34 indexed citations
10.
Wilkens, Ludwig, H. Ruschulte, Hartmut Hecker, et al.. (1998). Standard calculation of ethanol elimination rate is not sufficient to provide ethanol substitution therapy in the postoperative course of alcohol-dependent patients. Intensive Care Medicine. 24(5). 459–463. 14 indexed citations
11.
Ziegler, B, Petra Augstein, D.K. Schroder, et al.. (1996). Glutamate Decarboxylase (GAD) is not Detectable on the Surface of Rat Islet Cells Examined by Cytofluorometry and Complement-Dependent Antibody-Mediated Cytotoxicity of Monoclonal GAD Antibodies. Hormone and Metabolic Research. 28(1). 11–15. 12 indexed citations
12.
Sümpelmann, Robert, et al.. (1996). Evaluation of two electrochemical monitors for measurement of inhaled nitric oxide. Anaesthesia. 51(2). 151–154. 2 indexed citations
13.
Dunger, A., D.K. Schroder, Petra Augstein, et al.. (1995). Impact of metabolic activity of beta cells on cytokine-induced damage and recovery of rat pancreatic islets. Acta Diabetologica. 32(4). 217–224. 14 indexed citations
14.
Sümpelmann, Robert, et al.. (1994). Clonidin-supplementierte postoperative Analgesie bei kieferchirurgischen Patienten. Der Schmerz. 8(1). 51–56. 6 indexed citations
15.
Schroder, D.K., К.-D. Kohnert, B Hehmke, W. Besch, & S. Schmidt. (1993). Modulation of the effect of humoral‐mediated cytotoxicity on isolated rat pancreatic islets by glucose. Apmis. 101(1-6). 387–394. 2 indexed citations
17.
Hehmke, B, Silke Lucke, D.K. Schroder, Ingrid Klöting, & Klaus–Dieter Kohnert. (1990). Complement‐dependent antibody‐mediated cytotoxicity in the spontaneously diabetic BB/OK rat: association with β cell volume density. European Journal of Immunology. 20(5). 1091–1096. 4 indexed citations
18.
Schroder, D.K., et al.. (1990). Beta cell destruction of pancreatic islets transplanted into diabetic BB/OK rats may be reflected by increased antibody-mediated anti-islet cytotoxicity.. PubMed. 15(1). 27–32. 3 indexed citations
19.
Schroder, D.K.. (1980). The biological control of thistles.. 1(1). 9–26. 23 indexed citations
20.
Schroder, D.K.. (1970). Die Dritte Welt und das Völkerrecht. 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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