Jane Barraclough

1.7k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Jane Barraclough is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jane Barraclough has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jane Barraclough's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Advanced Breast Cancer Therapies (2 papers) and Virus-based gene therapy research (2 papers). Jane Barraclough is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Advanced Breast Cancer Therapies (2 papers) and Virus-based gene therapy research (2 papers). Jane Barraclough collaborates with scholars based in United Kingdom, Australia and New Zealand. Jane Barraclough's co-authors include Robert L. Sutherland, Elizabeth A. Musgrove, C. Elizabeth Caldon, Andrew Stone, Caroline Dive, Arkadiusz Welman, Jian Kang, C. Marcelo Sergio, Michael A. Black and Julia M.W. Gee and has published in prestigious journals such as Nature reviews. Cancer, Nature Protocols and Journal of Cellular Biochemistry.

In The Last Decade

Jane Barraclough

7 papers receiving 1.3k citations

Hit Papers

Cyclin D as a therapeutic target in cancer 2011 2026 2016 2021 2011 250 500 750 1000

Peers

Jane Barraclough
Comparison fields: 5 of 88
  • Molecular Biology 764
  • Oncology 625
  • Cancer Research 330
  • Pulmonary and Respiratory Medicine 304
  • Cell Biology 154
Replace Hwang‐Phill Kim with:
Hwang‐Phill Kim South Korea
Sheng-Chieh Hsu Taiwan
Shazli N. Malik United States
Yu-Mei Feng China
Shalom Madar Israel
Hyun-Soon Jong South Korea
Do-Sun Byun United States
Toshio Kokuryo Japan
Haluk Yuzugullu France
Ying Su China
Hwang‐Phill Kim South Korea View profile →
Citations per field, relative to Jane Barraclough
Jane Barraclough · 1×
Citations per year, relative to Jane Barraclough
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Countries citing papers authored by Jane Barraclough

Since Specialization
Citations

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

Fields of papers citing papers by Jane Barraclough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Barraclough

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Barraclough. A scholar is included among the top collaborators of Jane Barraclough 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 Jane Barraclough. Jane Barraclough is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 125
2
Cyclin D as a therapeutic target in cancer breakdown →
1087
3 28
4 3
5 24
6 21
7 18

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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