Wilma L. Lingle

15.1k citations
102 papers · 7.4k indexed · 3 hit papers · h-index 44
Topics
HER2/EGFR in Cancer Research (26 papers)Microtubule and mitosis dynamics (23 papers)Cancer-related Molecular Pathways (14 papers)
Partner nations
United StatesItalyChina

In The Last Decade

Wilma L. Lingle

102 papers receiving 7.3k citations

Hit Papers

Benign Breast Disease and the Risk of Breast Cancer2005202620122019200520092005200400600

Peers

Wilma L. Lingle
Comparison fields: 5 of 142
  • Molecular Biology 3.6k
  • Oncology 3.1k
  • Cancer Research 2.0k
  • Cell Biology 1.7k
  • Genetics 1.4k
Replace Yasuo Miyoshi with:
Yasuo Miyoshi Japan
Olle Stål Sweden
Khandan Keyomarsi United States
Elizabeth A. Musgrove Australia
Gerald McMahon United States
Yasuhiro Miki Japan
Brion W. Murray United States
Joyce M. Slingerland United States
Carol A. Lange United States
Andrew S. Kraft United States
Wilma L. Lingle relative to Yasuo Miyoshi Japan Yasuo Miyoshi's profile →
Citations per field
00.5×1.5×2.1×
Yasuo Miyoshi · 1×
Citations per year

Countries citing papers authored by Wilma L. Lingle

Since Specialization
Citations

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

Fields of papers citing papers by Wilma L. Lingle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wilma L. Lingle. 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 Wilma L. Lingle. The network helps show where Wilma L. Lingle may publish in the future.

Co-authorship network of co-authors of Wilma L. Lingle

This figure shows the co-authorship network connecting the top 25 collaborators of Wilma L. Lingle. A scholar is included among the top collaborators of Wilma L. Lingle 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 Wilma L. Lingle. Wilma L. Lingle 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 19
2 89
3 101
4 45
5 46
6 23
7 11
8 43
9 34
10 13
11 11
12 77
13 26
14
FKBP51 Affects Cancer Cell Response to Chemotherapy by Negatively Regulating Aktbreakdown →
568
15 49
16 197
17 57
18 20
19 12
20 21

About Wilma L. Lingle

Wilma L. Lingle is a scholar working on Oncology, Cell Biology and Cancer Research, having authored 102 papers that have together received 7.4k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (26 papers), Microtubule and mitosis dynamics (23 papers) and Cancer-related Molecular Pathways (14 papers). The work is most often cited by research in Cancer Research (2.0k citations), Oncology (3.1k citations) and Cell Biology (1.7k citations). Wilma L. Lingle has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Jeffrey L. Salisbury, James N. Ingle, Vera J. Suman, Daniel W. Visscher, Carol Reynolds, Antonino B. D’Assoro, Edith A. Perez, Vivian Negron, W Lütz and Matthew P. Goetz. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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