William Howat

21.5k citations
36 papers · 2.3k · h-index 22

Impact in

  • Aging top 5%
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Glycosylation and Glycoproteins Research 3
    • DNA Repair Mechanisms 2
    • HER2/EGFR in Cancer Research 5
    • Cancer Cells and Metastasis 2

William Howat

36 papers receiving 2.2k citations

Peers

William Howat
Comparison fields: 5 of 130
  • Aging 49
  • Oncology 536
  • Cancer Research 265
  • Immunology 350
  • Molecular Biology 967
Replace Yin P. Hung with:
Yin P. Hung United States
Christine Sers Germany
Gudrun E. Koehl Germany
Hyun Goo Woo South Korea
Yuko Murakami Japan
Ryuji Higashikubo United States
Giuliano Mazzini Italy
Michael R. Schlabach United States
Daniel Rosen United States
Hyun Ju Lee South Korea
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Citations per field
00.5×2.7×
Yin P. Hung · 1×
Citations per year

Countries citing papers authored by William Howat

Since Specialization
Citations

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

Fields of papers citing papers by William Howat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Howat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Howat Line = papers co-authored together William Howat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016390
2 2008254
3 2009251
4 2014208
5 2014182
6 2013123
7 201386
8 201280
9 201472
10 200270
11 201562
12 200151
13 200449
14 199449
15 201048
16 201538
17 201037
18 201632
19 201831
20 200523

About William Howat

William Howat is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), Inhalation and Respiratory Drug Delivery (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Neonatal Respiratory Health Research (3 papers), DNA Repair Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Aging (49 citations), Oncology (536 citations), Cancer Research (265 citations), Immunology (350 citations) and Molecular Biology (967 citations). William Howat has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Beverley Wilson, Peter M. Lackie, Jodi L. Miller, Stephen T. Holgate, David Tannahill, Giulia Biffi, Shankar Balasubramanian, Anthony Warford, David A. Tuveson and Joaquim Carreras. Their work appears in journals such as Scientific Reports, British Journal of Cancer, Cancer Research, PLoS ONE and Journal of Clinical Oncology.

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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