Meike Dittmann

6.4k citations
26 papers · 3.4k indexed · 1 hit paper · h-index 15
Topics
interferon and immune responses (9 papers)SARS-CoV-2 and COVID-19 Research (8 papers)Herpesvirus Infections and Treatments (5 papers)

In The Last Decade

Meike Dittmann

25 papers receiving 3.3k citations

Hit Papers

Interferon-Stimulated Genes: A Complex Web of Host Defenses2014202620182022201450010001.5k2.0k

Peers

Meike Dittmann
Comparison fields: 5 of 106
  • Immunology 1.8k
  • Infectious Diseases 1.2k
  • Molecular Biology 1000
  • Epidemiology 859
  • Oncology 401
Replace Ricardo Rajsbaum with:
Ricardo Rajsbaum United States
William M. Schneider United States
Anthony J. Sadler Australia
Finlay W. McNab United Kingdom
Hans-Heinrich Hoffmann United States
Kristy Horan Australia
Elina I. Zúñiga United States
Pierre‐Olivier Vidalain France
Kristy J. Szretter United States
Volker Fensterl United States
Meike Dittmann relative to Ricardo Rajsbaum United States Ricardo Rajsbaum's profile →
Citations per field
00.5×1.5×
Ricardo Rajsbaum · 1×
Citations per year

Countries citing papers authored by Meike Dittmann

Since Specialization
Citations

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

Fields of papers citing papers by Meike Dittmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meike Dittmann

This figure shows the co-authorship network connecting the top 25 collaborators of Meike Dittmann. A scholar is included among the top collaborators of Meike Dittmann 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 Meike Dittmann. Meike Dittmann 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
#WorkIndexed citations
1 0
2 1
3 7
4 11
5 23
6 9
7 33
8 7
9 38
10 7
11 189
12 2
13 35
14 115
15 52
16
Interferon-Stimulated Genes: A Complex Web of Host Defensesbreakdown →
2230
17 24
18
Antiviral Therapy, Drug Resistance and Computed Resistance Profiling
2
19 64
20 18

About Meike Dittmann

Meike Dittmann is a scholar working on Virology, Immunology and Infectious Diseases, having authored 26 papers that have together received 3.4k indexed citations. Recurring topics across this work include interferon and immune responses (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Herpesvirus Infections and Treatments (5 papers). The work is most often cited by research in Immunology (1.8k citations), Infectious Diseases (1.2k citations) and Virology (124 citations). Meike Dittmann has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Charles M. Rice, William M. Schneider, Maren de Vries, Ana M. Valero-Jimenez, Thomas Mertens, Jens von Einem, Craig Schindewolf, Kumari G. Lokugamage, Vineet D. Menachery and Adam Hage. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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