Jo Ellen Schweinle

1.5k citations
22 papers · 1.2k indexed · 1 hit paper · h-index 11
Topics
Influenza Virus Research Studies (4 papers)Pain Mechanisms and Treatments (4 papers)Complement system in diseases (4 papers)

In The Last Decade

Jo Ellen Schweinle

22 papers receiving 1.1k citations

Hit Papers

Clinical Signs and Symptoms Predicting Influenza Infection20002026200820172000100200300400500

Peers

Jo Ellen Schweinle
Comparison fields: 5 of 102
  • Epidemiology 572
  • Immunology 334
  • Infectious Diseases 179
  • Molecular Biology 153
  • Radiology, Nuclear Medicine and Imaging 78
Replace Ahmet Faik Öner with:
Ahmet Faik Öner Türkiye
Şükrü Arslan Türkiye
John Arnold United States
Gerco den Hartog Netherlands
Emmanuel Faure France
Symeon Metallidis Greece
Markus A. Rose Germany
S. Myint United Kingdom
C. H. Stuart‐Harris United Kingdom
Maryam Keshtkar‐Jahromi United States
Jo Ellen Schweinle relative to Ahmet Faik Öner Türkiye Ahmet Faik Öner's profile →
Citations per field
00.5×1.7×
Ahmet Faik Öner · 1×
Citations per year

Countries citing papers authored by Jo Ellen Schweinle

Since Specialization
Citations

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

Fields of papers citing papers by Jo Ellen Schweinle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jo Ellen Schweinle. 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 Jo Ellen Schweinle. The network helps show where Jo Ellen Schweinle may publish in the future.

Co-authorship network of co-authors of Jo Ellen Schweinle

This figure shows the co-authorship network connecting the top 25 collaborators of Jo Ellen Schweinle. A scholar is included among the top collaborators of Jo Ellen Schweinle 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 Jo Ellen Schweinle. Jo Ellen Schweinle 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 6
2 17
3 3
4 47
5 44
6 66
7
Clinical Signs and Symptoms Predicting Influenza Infectionbreakdown →
552
8 10
9 25
10 3
11 124
12 88
13 10
14 114
15 12
16 1
17 7
18 7
19 11
20 5

About Jo Ellen Schweinle

Jo Ellen Schweinle is a scholar working on Molecular Medicine, Pharmacology and Immunology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Pain Mechanisms and Treatments (4 papers) and Complement system in diseases (4 papers). The work is most often cited by research in Epidemiology (572 citations), Immunology (334 citations) and Modeling and Simulation (63 citations). Jo Ellen Schweinle has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Stefan Gravenstein, Michael J. Elliott, Arnold S. Monto, Michael W. Colopy, R. Alan B. Ezekowitz, Keith A. Joiner, Andrea J. Tenner, James Dalton, K Sastry and Stephen D. Gillies. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

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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