Jennifer Whiteley

2.0k total citations
38 papers, 1.5k citations indexed

About

Jennifer Whiteley is a scholar working on Surgery, Genetics and Hematology. According to data from OpenAlex, Jennifer Whiteley has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Genetics and 9 papers in Hematology. Recurrent topics in Jennifer Whiteley's work include Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Jennifer Whiteley is often cited by papers focused on Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Jennifer Whiteley collaborates with scholars based in United States, Canada and United Kingdom. Jennifer Whiteley's co-authors include Pablo Bifani, Kristin Kremer, Judith R. Glynn, Dick van Soolingen, Jan-Samuel Wagner, Marco DiBonaventura, José Alvir, Sonali Shah, Stephen Gallagher and Geoffrey Makinson and has published in prestigious journals such as Blood, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Jennifer Whiteley

35 papers receiving 1.5k citations

Peers

Jennifer Whiteley
Comparison fields: 5 of 109
  • Infectious Diseases 574
  • Epidemiology 570
  • Surgery 453
  • Endocrinology, Diabetes and Metabolism 282
  • Genetics 148
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Ali Alattar United States
H Rousset France
Jean‐François Oury France
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CH Rodeck United Kingdom
Edoardo Di Naro Italy
Stefano Stagi Italy
Brigitte Ranque France
Thelma Larocca Skare Brazil
Ariel Weissman Israel
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Citations per field, relative to Jennifer Whiteley
Jennifer Whiteley · 1×
Citations per year, relative to Jennifer Whiteley
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Countries citing papers authored by Jennifer Whiteley

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Whiteley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Whiteley

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Whiteley. A scholar is included among the top collaborators of Jennifer Whiteley 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 Jennifer Whiteley. Jennifer Whiteley 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
# Work Indexed citations
1 1
2 0
3 0
4 1
5 7
6 65
7 1
8 24
9 1
10 18
11 28
12 54
13 107
14 13
15 194
16 25
17 24
18 2
19 1
20 39

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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