Philip R. Spradling

4.7k citations
103 papers · 2.8k indexed · 1 hit paper · h-index 29
Topics
Hepatitis C virus research (73 papers)Hepatitis B Virus Studies (65 papers)Liver Disease Diagnosis and Treatment (64 papers)
Partner nations
United StatesKenyaMexico

In The Last Decade

Philip R. Spradling

100 papers receiving 2.7k citations

Hit Papers

Screening and Testing for Hepatitis B Virus Infection: CD...20232026202420252023255075100

Peers

Philip R. Spradling
Comparison fields: 5 of 108
  • Epidemiology 2.4k
  • Hepatology 2.3k
  • Infectious Diseases 475
  • Health 163
  • Immunology 102
Replace Wendi L. Kuhnert with:
Wendi L. Kuhnert United States
Oluwaseun Falade‐Nwulia United States
Lu-Yu Hwang United States
Yusuke Shimakawa France
Chong‐Gee Teo United Kingdom
Joe Sasadeusz Australia
Mamta K. Jain United States
Fuqiang Cui China
Kristen Marks United States
Sylvie Deuffic‐Burban France
Philip R. Spradling relative to Wendi L. Kuhnert United States Wendi L. Kuhnert's profile →
Citations per field
00.5×11.4×
Wendi L. Kuhnert · 1×
Citations per year

Countries citing papers authored by Philip R. Spradling

Since Specialization
Citations

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

Fields of papers citing papers by Philip R. Spradling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip R. Spradling. 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 Philip R. Spradling. The network helps show where Philip R. Spradling may publish in the future.

Co-authorship network of co-authors of Philip R. Spradling

This figure shows the co-authorship network connecting the top 25 collaborators of Philip R. Spradling. A scholar is included among the top collaborators of Philip R. Spradling 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 Philip R. Spradling. Philip R. Spradling 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
Screening and Testing for Hepatitis B Virus Infection: CDC Recommendations — United States, 2023breakdown →
115
3 6
4 1
5 6
6 12
7 21
8 6
9 10
10 17
11 29
12 9
13 8
14 20
15 252
16 25
17 111
18 21
19 40
20 27

About Philip R. Spradling

Philip R. Spradling is a scholar working on Hepatology, Epidemiology and Health, having authored 103 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (73 papers), Hepatitis B Virus Studies (65 papers) and Liver Disease Diagnosis and Treatment (64 papers). The work is most often cited by research in Hepatology (2.3k citations), Epidemiology (2.4k citations) and Infectious Diseases (475 citations). Philip R. Spradling has collaborated with scholars based in United States, Kenya and Mexico. Frequent co-authors include Anne C. Moorman, Scott D. Holmberg, Eyasu H. Teshale, Stuart C. Gordon, Joseph A. Boscarino, Loralee B. Rupp, Maxine M. Denniston, Mei Lü, Brian J. McMahon and Mark A. Schmidt. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Hepatology.

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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