Daniel Degrandi

2.8k citations
35 papers · 2.1k · h-index 19

Impact in

    • Toxoplasma gondii Research Studies
  • Immunology top 2%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Herpesvirus Infections and Treatments 11
    • Cytomegalovirus and herpesvirus research 9
    • interferon and immune responses 9
    • Immune Cell Function and Interaction 5
    • Galectins and Cancer Biology 2

Daniel Degrandi

32 papers receiving 2.1k citations

Peers

Daniel Degrandi
Comparison fields: 5 of 86
  • Parasitology 454
  • Immunology 985
  • Microbiology 136
  • Epidemiology 563
  • Endocrinology 90
Replace Sarah E. Ewald with:
Sarah E. Ewald United States
Eva Szomolanyi‐Tsuda United States
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Daniel Degrandi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Degrandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Degrandi, 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 Daniel Degrandi Line = papers co-authored together Daniel Degrandi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015287
2 2014278
3 2018184
4 2005168
5 2007166
6 2013147
7 2012145
8 2008111
9 2016100
10 200863
11 201056
12 200554
13 201246
14 201346
15 202236
16 201534
17 201222
18 201720
19 202020
20 201318

About Daniel Degrandi

Daniel Degrandi is a scholar working on Epidemiology, Immunology, Parasitology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (16 papers), Herpesvirus Infections and Treatments (11 papers), interferon and immune responses (9 papers), Cytomegalovirus and herpesvirus research (9 papers), Immune Cell Function and Interaction (5 papers), Inflammasome and immune disorders (5 papers), Streptococcal Infections and Treatments (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Parasitology (454 citations), Immunology (985 citations), Microbiology (136 citations), Epidemiology (563 citations) and Endocrinology (90 citations). Daniel Degrandi has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Klaus Pfeffer, Cornelia Beuter-Gunia, Masahiro Yamamoto, Carolin Konermann, Petr Brož, Mathias S. Dick, Thomas Henry, Étienne Meunier, Elisabeth Kravets and Sandra Beer. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, BMC Genomics, Journal of Clinical Investigation and The Journal of Immunology.

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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