Heather M. Shaw

1.5k citations
34 papers · 725 indexed · h-index 13
Topics
Cancer Immunotherapy and Biomarkers (12 papers)CAR-T cell therapy research (10 papers)Immunotherapy and Immune Responses (9 papers)

In The Last Decade

Heather M. Shaw

33 papers receiving 714 citations

Peers

Heather M. Shaw
Comparison fields: 5 of 79
  • Oncology 352
  • Molecular Biology 349
  • Endocrinology, Diabetes and Metabolism 166
  • Pulmonary and Respiratory Medicine 132
  • Cancer Research 116
Replace Margaret H. Veldman-Jones with:
Margaret H. Veldman-Jones United Kingdom
Sung‐Im Do South Korea
Federica Torricelli Italy
Min Sung Kim South Korea
Greg Friberg United States
Elaina Cajulis United States
Ken Ueki Japan
Priyanka Iyer United States
Ashraf S. Mahmoud-Ahmed United States
Bingyin Shi China
Heather M. Shaw relative to Margaret H. Veldman-Jones United Kingdom Margaret H. Veldman-Jones's profile →
Citations per field
00.5×1.5×2.4×
Margaret H. Veldman-Jones · 1×
Citations per year

Countries citing papers authored by Heather M. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Heather M. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather M. Shaw. 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 Heather M. Shaw. The network helps show where Heather M. Shaw may publish in the future.

Co-authorship network of co-authors of Heather M. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Heather M. Shaw. A scholar is included among the top collaborators of Heather M. Shaw 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 Heather M. Shaw. Heather M. Shaw 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 3
2 10
3 1
4 1
5 0
6 32
7 62
8 1
9 2
10 14
11 22
12 63
13 7
14 13
15 13
16 42
17 69
18 28
19 29
20 35

About Heather M. Shaw

Heather M. Shaw is a scholar working on Oncology, Immunology and Genetics, having authored 34 papers that have together received 725 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), CAR-T cell therapy research (10 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Oncology (352 citations), Endocrinology, Diabetes and Metabolism (166 citations) and Cancer Research (116 citations). Heather M. Shaw has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Paul Nathan, Johann S. de Bono, Timothy A. Yap, Antonio Gualberto, L Rhoda Molife, Donghua Yin, Paul Haluska, Michelle L. Roberts, Amarnath Sharma and Alex A. Adjei. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and British Journal of Cancer.

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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