Daniel Malouli

2.2k citations
37 papers · 1.8k · h-index 19

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Cytomegalovirus and herpesvirus research 31
    • Herpesvirus Infections and Treatments 17
    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 5

Daniel Malouli

36 papers receiving 1.7k citations

Peers

Daniel Malouli
Comparison fields: 5 of 69
  • Virology 486
  • Immunology 909
  • Epidemiology 1.0k
  • Infectious Diseases 417
  • Parasitology 96
Replace Roxanne M. Gilbride with:
Roxanne M. Gilbride United States
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Paul Zhou China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Malouli

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Malouli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013363
2 2016251
3 2018207
4 2008171
5 201986
6 201566
7 201160
8 202150
9 201244
10 201743
11 202143
12 201637
13 201435
14 201634
15 202234
16 201932
17 201531
18 201930
19 202025
20 202219

About Daniel Malouli

Daniel Malouli is a scholar working on Epidemiology, Immunology, Virology, Infectious Diseases and Parasitology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (31 papers), Herpesvirus Infections and Treatments (17 papers), Immune Cell Function and Interaction (11 papers), HIV Research and Treatment (7 papers), T-cell and B-cell Immunology (5 papers), Mosquito-borne diseases and control (4 papers), Parvovirus B19 Infection Studies (4 papers) and Toxoplasma gondii Research Studies (3 papers). The work is most often cited by research in Virology (486 citations), Immunology (909 citations), Epidemiology (1.0k citations), Infectious Diseases (417 citations) and Parasitology (96 citations). Daniel Malouli has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Klaus Frueh, Victor R. DeFilippis, Colin Powers, Kasinath Viswanathan, Marieke C. Verweij, Jay A. Nelson, M. Shane Smith, Mandana Mansouri, Scott G. Hansen and Michael K. Axthelm. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Science Immunology, Science Translational Medicine and Science.

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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