Lisa Starr

29 papers receiving 867 citations

Peers

Lisa Starr
Comparison fields: 5 of 115
  • Immunology and Allergy 510
  • Cell Biology 243
  • Hematology 85
  • Radiology, Nuclear Medicine and Imaging 134
  • Cancer Research 87
Replace Allison L. Berrier with:
Allison L. Berrier United States
Malgorzata Barczyk Norway
Sergio Carracedo Norway
Leeni Koivisto Canada
Franck Carreiras France
Matthew C. Stewart United States
A. H. Reddi United States
Natalia V. Kuznetsova United States
Kentaro Hozumi Japan
Purva Singh United States
Lisa Starr relative to Allison L. Berrier United States Allison L. Berrier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lisa Starr

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990283
2 1990167
3 1993136
4 199894
5 199236
6 201228
7
An efficient and reliable method for cloning PCR-amplification products: a survey of point mutations in integrin cDNA.
199223
8 201522
9 198719
10
Biology Today and Tomorrow with Physiology
200412
11 201410
12 20219
13 20228
14 20157
15 20177
16
Biology : concepts and applications without physiology
20115
17 20235
18 20204
19 20184
20 19984

About Lisa Starr

Lisa Starr is a scholar working on Obstetrics and Gynecology, Molecular Biology, Immunology and Allergy, Public Health, Environmental and Occupational Health and Immunology, having authored 30 papers that have together received 897 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Pregnancy and preeclampsia studies (6 papers), Pregnancy and Medication Impact (4 papers), Gestational Diabetes Research and Management (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Iron Metabolism and Disorders (2 papers), Birth, Development, and Health (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Immunology and Allergy (510 citations), Cell Biology (243 citations), Hematology (85 citations), Radiology, Nuclear Medicine and Imaging (134 citations) and Cancer Research (87 citations). Lisa Starr has collaborated with scholars based in Canada, United States and Panama. Frequent co-authors include Vito Quaranta, Carla Rozzo, Ginetta Collo, Louis F. Reichardt, Helen Cooper, James J. Chambers, Richard N. Tamura, Ahmed El‐Ghannam, Jonathan Jones and Robert Pytela. Their work appears in journals such as Journal of Biomedical Materials Research, International Journal for Parasitology, Journal of Biological Chemistry, Nutrients and Discourse Studies in the Cultural Politics of Education.

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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