Lisa Happerfield

3.1k citations
43 papers · 2.4k indexed · 1 hit paper · h-index 27

Lisa Happerfield

43 papers receiving 2.4k citations

Hit Papers

Nitric oxide synthase activity in human breast cancer5291995202620052015100200300400500

Peers

Lisa Happerfield
Comparison fields: 5 of 112
  • Cancer Research 658
  • Oncology 656
  • Endocrinology, Diabetes and Metabolism 348
  • Biochemistry 150
  • Pathology and Forensic Medicine 324
Replace Elaine Kilgour with:
Elaine Kilgour United Kingdom
Dov Kadmon United States
Shinichi Sakamoto Japan
Luca Messerini Italy
Anna Frolov United States
Herbert T. Cohen United States
Louis Chesler United Kingdom
Michael Kluk United States
Bassem R. Haddad United States
Denise J. Spring United States
Lisa Happerfield relative to Elaine Kilgour United Kingdom Elaine Kilgour's profile →
Citations per field
00.5×1.5×
Elaine Kilgour · 1×
Citations per year

Countries citing papers authored by Lisa Happerfield

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Happerfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lisa Happerfield, 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 Lisa Happerfield Line = papers co-authored together Lisa Happerfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202030
2 201626
3 201592
4 201127
5 20107
6 200956
7 200916
8 200864
9 200814
10 20086
11 2003136
12 199761
13 199786
14 199467
15 1994108
16 199349
17 199314
18 19927
19 199221
20 199215

About Lisa Happerfield

Lisa Happerfield is a scholar working on Immunology and Allergy, Cancer Research, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Glycosylation and Glycoproteins Research (7 papers), Genetic factors in colorectal cancer (6 papers), Cell Adhesion Molecules Research (6 papers), HER2/EGFR in Cancer Research (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Breast Cancer Treatment Studies (4 papers) and Breast Lesions and Carcinomas (4 papers). The work is most often cited by research in Cancer Research (658 citations), Oncology (656 citations), Endocrinology, Diabetes and Metabolism (348 citations), Biochemistry (150 citations) and Pathology and Forensic Medicine (324 citations). Lisa Happerfield has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Lynda G. Bobrow, RG Knowles, LL Thomsen, Salvador Moncada, Rosemary R. Millis, Gareth Williams, Kai Stoeber, Geraldine Thomas, Thea D. Tlsty and E. D. Williams. Their work appears in journals such as The Journal of Pathology, British Journal of Cancer, Histopathology, The Journal of Clinical Endocrinology & Metabolism and Journal of Clinical Pathology.

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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2026