Lisa Strain

65 papers receiving 3.0k citations

Peers

Lisa Strain
Comparison fields: 5 of 109
  • Nephrology 958
  • Immunology 1.8k
  • Transplantation 161
  • Hematology 693
  • Physiology 236
Replace Anne E. Hughes with:
Anne E. Hughes United Kingdom
Filip Callewaert Belgium
Dorin‐Bogdan Borza United States
Gallia G. Levy United States
Anna Savoia Italy
James A. Deane Australia
Srinivas R. Viswanathan United States
Sripad Gunwar United States
Michael Wenger Switzerland
Naomi Galili United States
Lisa Strain relative to Anne E. Hughes United Kingdom Anne E. Hughes's profile →
Citations per field
00.5×5.8×
Anne E. Hughes · 1×
Citations per year

Countries citing papers authored by Lisa Strain

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Strain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009283
2 2007255
3 1998239
4 1998218
5 2006166
6 2006125
7 1995120
8 1998100
9 201396
10 200685
11 200984
12 201175
13 200869
14 201264
15 200559
16
Heterogeneity analysis in 40 X-linked retinitis pigmentosa families.
199456
17 201250
18 200350
19 200848
20 200538

About Lisa Strain

Lisa Strain is a scholar working on Immunology, Hematology, Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 65 papers that have together received 3.1k indexed citations. Recurring topics across this work include Complement system in diseases (33 papers), Blood groups and transfusion (13 papers), Hemoglobinopathies and Related Disorders (10 papers), Prenatal Screening and Diagnostics (9 papers), Adenosine and Purinergic Signaling (8 papers), Platelet Disorders and Treatments (6 papers), Renal Diseases and Glomerulopathies (6 papers) and Genetics and Neurodevelopmental Disorders (5 papers). The work is most often cited by research in Nephrology (958 citations), Immunology (1.8k citations), Transplantation (161 citations), Hematology (693 citations) and Physiology (236 citations). Lisa Strain has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David T. Bonthron, Timothy H.J. Goodship, Bruce E. Hayward, David Kavanagh, Kevin J. Marchbank, Judith A. Goodship, Iain Moore, Scott J. Staniforth, Tim Goodship and Isabel Y. Pappworth. Their work appears in journals such as Molecular Immunology, Journal of Medical Genetics, American Journal of Kidney Diseases, Journal of the American Society of Nephrology and Pediatric Nephrology.

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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