Ulfert Rand

1.2k citations
26 papers · 654 · h-index 14

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Viral Infections and Vectors

Papers in

    • interferon and immune responses 7
    • Immune Cell Function and Interaction 3
    • Immune Response and Inflammation 3

Ulfert Rand

26 papers receiving 650 citations

Peers

Ulfert Rand
Comparison fields: 5 of 68
  • Immunology 353
  • Infectious Diseases 140
  • Epidemiology 178
  • Virology 21
  • Oncology 102
Replace Moeko Miyashita with:
Moeko Miyashita Japan
Krystal K. Lum United States
Nir Drayman United States
Ghizlane Maarifi France
Laura Zarebski Argentina
Temet M. McMichael United States
Wakako Suhara Japan
Eva Kowalinski France
Benjamin A. Diner United States
Martin Baril Canada
Ulfert Rand relative to Moeko Miyashita Japan Moeko Miyashita's profile →
Citations per field
00.5×1.5×
Moeko Miyashita · 1×
Citations per year

Countries citing papers authored by Ulfert Rand

Since Specialization
Citations

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

Fields of papers citing papers by Ulfert Rand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ulfert Rand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulfert Rand Line = papers co-authored together Ulfert Rand links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012111
2 2010109
3 201099
4 202162
5 201448
6 202125
7 201623
8 201520
9 201718
10 201717
11 202115
12 202115
13 201415
14 202213
15 202311
16 202210
17 20218
18 20257
19 20206
20 20155

About Ulfert Rand

Ulfert Rand is a scholar working on Immunology, Molecular Biology, Epidemiology, Infectious Diseases and Oncology, having authored 26 papers that have together received 654 indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Cytomegalovirus and herpesvirus research (6 papers), Herpesvirus Infections and Treatments (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (353 citations), Infectious Diseases (140 citations), Epidemiology (178 citations), Virology (21 citations) and Oncology (102 citations). Ulfert Rand has collaborated with scholars based in Germany, Croatia and Austria. Frequent co-authors include H. Häuser, Mario Köster, Andrea Kröger, Luka Čičin‐Šain, Katjana Klages, Anja Stirnweiß, Johannes Schwerk, Stefan Lienenklaus, Siegfried Weiß and Thomas Höfer. Their work appears in journals such as Nature Communications, Journal of Virology, Nucleic Acids Research, PLoS ONE and ACS Biomaterials Science & Engineering.

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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