Nancy Sugg

3.7k citations
44 papers · 3.1k · h-index 26

Impact in

  • Health top 0.2%
    • Intimate Partner and Family Violence
    • Reproductive tract infections research
    • Microbial infections and disease research

Papers in

Nancy Sugg

44 papers receiving 2.7k citations

Peers

Nancy Sugg
Comparison fields: 5 of 104
  • Health 1.4k
  • Microbiology 257
  • Animal Science and Zoology 333
  • Epidemiology 643
  • Modeling and Simulation 85
Replace Heinz‐Josef Schmitt with:
Heinz‐Josef Schmitt Germany
Jennifer C. Moïsi United States
Jin Zhao China
John C. Victor United States
Nicole E. Basta Canada
Ousmane Madiagne Diop Senegal
Nick Andrews United Kingdom
Pearl Sharp United States
Julia M. Murphy United States
Fortunato “Paolo” D’Ancona Italy
Nancy Sugg relative to Heinz‐Josef Schmitt Germany Heinz‐Josef Schmitt's profile →
Citations per field
00.5×20×40×55.5×
Heinz‐Josef Schmitt · 1×
Citations per year

Countries citing papers authored by Nancy Sugg

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Sugg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992565
2 2003286
3 1990208
4 1999164
5 2015158
6 2003150
7 2000140
8 2020128
9 1988110
10 1992103
11 200092
12 198887
13 199687
14 198084
15 197561
16 197458
17 202058
18 198554
19 198852
20 198940

About Nancy Sugg

Nancy Sugg is a scholar working on Health, Animal Science and Zoology, Epidemiology, Microbiology and Infectious Diseases, having authored 44 papers that have together received 3.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (12 papers), Animal Virus Infections Studies (10 papers), Intimate Partner and Family Violence (10 papers), Respiratory viral infections research (4 papers), Microbial infections and disease research (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Reproductive tract infections research (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Health (1.4k citations), Microbiology (257 citations), Animal Science and Zoology (333 citations), Epidemiology (643 citations) and Modeling and Simulation (85 citations). Nancy Sugg has collaborated with scholars based in United States and Canada. Frequent co-authors include Tamar Ben‐Porat, Federico A. Zuckermann, Thomas C. Mettenleiter, Laszlo Zsak, Robert S. Thompson, Frederick P. Rivara, Patricia A. Janssen, Victoria L. Holt, Christa S. Schreurs and Irvin Emanuel. Their work appears in journals such as Journal of Virology, Infection and Immunity, American Journal of Preventive Medicine, The Journal of Infectious Diseases and Influenza and Other Respiratory Viruses.

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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