John L. Hayward

931 total citations
20 papers, 733 citations indexed

About

John L. Hayward is a scholar working on Oncology, Genetics and Cancer Research. According to data from OpenAlex, John L. Hayward has authored 20 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Genetics and 6 papers in Cancer Research. Recurrent topics in John L. Hayward's work include Estrogen and related hormone effects (7 papers), Breast Cancer Treatment Studies (6 papers) and HER2/EGFR in Cancer Research (3 papers). John L. Hayward is often cited by papers focused on Estrogen and related hormone effects (7 papers), Breast Cancer Treatment Studies (6 papers) and HER2/EGFR in Cancer Research (3 papers). John L. Hayward collaborates with scholars based in United Kingdom, Japan and United States. John L. Hayward's co-authors include Rosemary R. Millis, R.D. Rubens, Ian S. Fentiman, Sheila Sexton, R.J.B. King, John F. Stewart, R.D. Bulbrook, Dennis Y. Wang, Murid A. Chaudary and R. Knight and has published in prestigious journals such as Cancer, Annals of Surgery and European Journal of Cancer.

In The Last Decade

John L. Hayward

20 papers receiving 677 citations

Peers

John L. Hayward
Comparison fields: 5 of 63
  • Oncology 383
  • Cancer Research 310
  • Pulmonary and Respiratory Medicine 207
  • Pathology and Forensic Medicine 165
  • Genetics 132
Replace A. Robinson with:
A. Robinson United Kingdom
D Perrault Canada
C. Seynaeve Netherlands
C Lejeune France
R Nissen-Meyer Norway
H. Hamed United Kingdom
Rémy Largillier France
Å Rimsten Sweden
PA Ganz United States
Fentiman Is United Kingdom
A. Robinson United Kingdom View profile →
Citations per field, relative to John L. Hayward
John L. Hayward · 1×
Citations per year, relative to John L. Hayward
John L. Hayward · 1×

Countries citing papers authored by John L. Hayward

Since Specialization
Citations

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

Fields of papers citing papers by John L. Hayward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John L. Hayward

This figure shows the co-authorship network connecting the top 25 collaborators of John L. Hayward. A scholar is included among the top collaborators of John L. Hayward 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 John L. Hayward. John L. Hayward 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 49
2 58
3 26
4 2
5 2
6 12
7 35
8 3
9 26
10 4
11 54
12 46
13 48
14 25
15 17
16 15
17 77
18 106
19 36
20 92

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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