Jenny Herbert

1.0k citations
15 papers · 675 · 1 hit paper · h-index 9

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Jenny Herbert

14 papers receiving 650 citations

Hit Papers

COVID-19: Immunology and treatment options 2020 · 452 citations
4520+2+4Years since publication100200300400

Peers

Jenny Herbert
Comparison fields: 5 of 94
  • Infectious Diseases 383
  • Neurology 146
  • Modeling and Simulation 25
  • Obstetrics and Gynecology 39
  • Endocrinology 24
Replace Silvia Scabini with:
Silvia Scabini Italy
Hongxia Wei China
Hayley Lavender United Kingdom
Nour Chams United States
María Florencia Gómez Castro United States
Sana Chams United States
Theodros Solomon Tsegaye United States
Brian Hanley United Kingdom
Hongwei Fan China
Jenny Herbert relative to Silvia Scabini Italy Silvia Scabini's profile →
Citations per field
00.5×3.5×
Silvia Scabini · 1×
Citations per year

Countries citing papers authored by Jenny Herbert

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Herbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
COVID-19: Immunology and treatment options
Hit paper breakdown →
2020452
2 201840
3 202038
4 200829
5 201828
6 202021
7 202120
8 201417
9 201515
10 20238
11 20153
12 20152
13 20181
14 20121
15 20230

About Jenny Herbert

Jenny Herbert is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases, Public Health, Environmental and Occupational Health and Microbiology, having authored 15 papers that have together received 675 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (8 papers), Respiratory viral infections research (7 papers), Neonatal Respiratory Health Research (4 papers), Bacterial Infections and Vaccines (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Neonatal and Maternal Infections (2 papers) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Infectious Diseases (383 citations), Neurology (146 citations), Modeling and Simulation (25 citations), Obstetrics and Gynecology (39 citations) and Endocrinology (24 citations). Jenny Herbert has collaborated with scholars based in United Kingdom, China and South Africa. Frequent co-authors include Christian M. Hedrich, Paul McNamara, Susanna Felsenstein, Rosalind L. Smyth, Claire M. Smith, Yu Deng, Timothy J. Mitchell, Ren Luo, Christine Aldridge and Jonathon D. Brown. Their work appears in journals such as PLoS ONE, Molecular Microbiology, Scientific Reports, Thorax and Journal of Leukocyte Biology.

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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