Karsten Conrad

794 total citations
12 papers, 249 citations indexed

About

Karsten Conrad is a scholar working on Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Karsten Conrad has authored 12 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Rheumatology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Karsten Conrad's work include Immunodeficiency and Autoimmune Disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (4 papers). Karsten Conrad is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (4 papers). Karsten Conrad collaborates with scholars based in Germany, Hungary and United States. Karsten Conrad's co-authors include Thorsten Krieger, Gunnar Wichmann, Gerd Birkenmeier, Nasr Y. A. Hemdan, Marvin J. Fritzler, Yehuda Shoenfeld, Elena Csernok, Nadja Röber, Rachita Panda and Thomas Renné and has published in prestigious journals such as The Journal of Immunology, Annals of the New York Academy of Sciences and Frontiers in Immunology.

In The Last Decade

Karsten Conrad

12 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karsten Conrad Germany 8 135 67 53 42 38 12 249
Bernhard Heilig Germany 7 127 0.9× 63 0.9× 74 1.4× 33 0.8× 39 1.0× 9 329
Iwona Brzosko Poland 8 125 0.9× 146 2.2× 39 0.7× 23 0.5× 28 0.7× 28 276
Izumi Kurata Japan 10 119 0.9× 107 1.6× 41 0.8× 21 0.5× 48 1.3× 19 268
Katie Stewart United States 9 101 0.7× 99 1.5× 74 1.4× 83 2.0× 31 0.8× 14 295
D F Huang Taiwan 9 186 1.4× 98 1.5× 39 0.7× 18 0.4× 30 0.8× 12 308
Giuseppe Argentino Italy 9 147 1.1× 100 1.5× 63 1.2× 43 1.0× 46 1.2× 20 335
Sandra C. Silva‐Cardoso Netherlands 9 129 1.0× 38 0.6× 50 0.9× 48 1.1× 19 0.5× 9 235
Norio Hanata Japan 9 130 1.0× 93 1.4× 46 0.9× 23 0.5× 53 1.4× 18 255
Konstantia-Maria Chavele United Kingdom 6 266 2.0× 122 1.8× 75 1.4× 23 0.5× 61 1.6× 7 399
Lidia Ostanek Poland 9 139 1.0× 154 2.3× 47 0.9× 22 0.5× 21 0.6× 39 296

Countries citing papers authored by Karsten Conrad

Since Specialization
Citations

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

Fields of papers citing papers by Karsten Conrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karsten Conrad

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

All Works

12 of 12 papers shown
1.
Conrad, Karsten, Yehuda Shoenfeld, & Marvin J. Fritzler. (2020). Precision health: A pragmatic approach to understanding and addressing key factors in autoimmune diseases. Autoimmunity Reviews. 19(5). 102508–102508. 24 indexed citations
2.
Kolenda, Rafał, Daniel C. Baumgart, Johann Pratschke, et al.. (2018). Mucosal Autoimmunity to Cell-Bound GP2 Isoforms Is a Sensitive Marker in PSC and Associated With the Clinical Phenotype. Frontiers in Immunology. 9. 1959–1959. 11 indexed citations
3.
Panda, Rachita, Thorsten Krieger, Thomas Renné, et al.. (2017). Neutrophil Extracellular Traps Contain Selected Antigens of Anti-Neutrophil Cytoplasmic Antibodies. Frontiers in Immunology. 8. 439–439. 40 indexed citations
4.
Sack, Ulrich, Andreas Boldt, Nora Mallouk, et al.. (2016). Cellular analyses in the monitoring of autoimmune diseases. Autoimmunity Reviews. 15(9). 883–889. 3 indexed citations
5.
Conrad, Karsten, et al.. (2013). Relevant incidence of cervical arthritis in patients with erosive seropositive rheumatoid arthritis even today.. PubMed. 31(2). 213–8. 7 indexed citations
6.
Tsourdi, Elena, Roland Därr, Kathrin Wieczorek, et al.. (2013). Macroglossia as the only presenting feature of amyloidosis due to MGUS. European Journal Of Haematology. 92(1). 88–89. 5 indexed citations
7.
Conrad, Karsten, Elena Csernok, Falk Hiepe, et al.. (2012). Autoantikörpernachweis mittels indirekter Immunfluoreszenz an HEp-2-Zellen1)/Autoantibody detection using indirect immunofluorescence on HEp-2 cells. LaboratoriumsMedizin. 36(3). 135–141. 1 indexed citations
8.
Hemdan, Nasr Y. A., et al.. (2010). Interleukin-17-producing T helper cells in autoimmunity. Autoimmunity Reviews. 9(11). 785–792. 110 indexed citations
9.
Sack, Ulrich, Karsten Conrad, Elena Csernok, et al.. (2007). Standardization of Autoimmune Diagnostics in Germany. Annals of the New York Academy of Sciences. 1109(1). 31–36. 6 indexed citations
10.
Bachmann, Michael, Holger Bartsch, Timothy Gross, et al.. (2006). Autoimmunity as a Result of Escape from RNA Surveillance. The Journal of Immunology. 177(3). 1698–1707. 12 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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