Jill M. Ferdinands

7.0k citations
72 papers · 2.7k indexed · 4 hit papers · h-index 27
Topics
Influenza Virus Research Studies (55 papers)Respiratory viral infections research (37 papers)Vaccine Coverage and Hesitancy (15 papers)
Journals
JAMANature CommunicationsSHILAP Revista de lepidopterología
Partner nations
United StatesKenyaSpain

In The Last Decade

Jill M. Ferdinands

70 papers receiving 2.6k citations

Hit Papers

Prevention and Control of Seasonal Influenza with Vaccine...2021202620222024202120222024202350100150200

Peers

Jill M. Ferdinands
Comparison fields: 5 of 134
  • Epidemiology 1.8k
  • Infectious Diseases 670
  • Health 524
  • Pulmonary and Respiratory Medicine 386
  • Physiology 332
Replace Leslie Z. Sokolow with:
Leslie Z. Sokolow United States
Marika K. Iwane United States
Maria E. Sundaram United States
Yugo Shobugawa Japan
Sarah Thorning Australia
Mahbubur Rahman Bangladesh
Marcela Guevara Spain
Lone Graff Stensballe Denmark
Robert Menzies Australia
Louise Letley United Kingdom
Jill M. Ferdinands relative to Leslie Z. Sokolow United States Leslie Z. Sokolow's profile →
Citations per field
00.5×7.3×
Leslie Z. Sokolow · 1×
Citations per year

Countries citing papers authored by Jill M. Ferdinands

Since Specialization
Citations

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

Fields of papers citing papers by Jill M. Ferdinands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill M. Ferdinands. 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 Jill M. Ferdinands. The network helps show where Jill M. Ferdinands may publish in the future.

Co-authorship network of co-authors of Jill M. Ferdinands

This figure shows the co-authorship network connecting the top 25 collaborators of Jill M. Ferdinands. A scholar is included among the top collaborators of Jill M. Ferdinands based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jill M. Ferdinands. Jill M. Ferdinands is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 3
4 0
5 22
6 63
7 12
8 4
9 12
10 5
11 18
12 50
13 33
14 5
15 105
16 92
17 18
18 19
19 138
20 14

About Jill M. Ferdinands

Jill M. Ferdinands is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 72 papers that have together received 2.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (55 papers), Respiratory viral infections research (37 papers) and Vaccine Coverage and Hesitancy (15 papers). The work is most often cited by research in Health (524 citations), Modeling and Simulation (265 citations) and Epidemiology (1.8k citations). Jill M. Ferdinands has collaborated with scholars based in United States, Kenya and Spain. Frequent co-authors include Alicia M. Fry, Lenee Blanton, David K. Shay, Lisa A. Grohskopf, Karen R. Broder, H. Keipp Talbot, Ivo Foppa, Michael Haber, David M. Mannino and Edward A. Belongia. Their work appears in journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.

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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