Heather C. Workman

9 papers receiving 288 citations

Peers

Heather C. Workman
Comparison fields: 5 of 57
  • Immunology 85
  • Small Animals 24
  • Oncology 70
  • Molecular Biology 147
  • Radiology, Nuclear Medicine and Imaging 41
Replace Giuseppe Mesiti with:
Giuseppe Mesiti Italy
Natalie Reimers Germany
Sridhar Murahari United States
Samuel Gonçalves-Ribeiro Spain
Kersti Klaamas Estonia
Yosinobu Takabe Japan
Candice Perry United States
Oleg Kurtenkov Estonia
Arpita Singha Roy Bangladesh
Daniel F. Camacho United States
Heather C. Workman relative to Giuseppe Mesiti Italy Giuseppe Mesiti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Heather C. Workman

Since Specialization
Citations

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

Fields of papers citing papers by Heather C. Workman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 200774
2 200961
3 200351
4 201334
5 200933
6 201021
7 201820
8 20083
9
Chronic lymphocytic leukemia in cats is primarily a T helper cell disease
20042

About Heather C. Workman

Heather C. Workman is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 9 papers that have together received 299 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Galectins and Cancer Biology (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Virology and Viral Diseases (1 paper), Liver Disease and Transplantation (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Immunology (85 citations), Small Animals (24 citations), Oncology (70 citations), Molecular Biology (147 citations) and Radiology, Nuclear Medicine and Imaging (41 citations). Heather C. Workman has collaborated with scholars based in United States, India and China. Frequent co-authors include Colleen Sweeney, Kermit L. Carraway, William Vernau, Alexander D. Borowsky, Lawrence J.T. Young, Jamie K. Miller, Laurel Beckett, Robert D. Cardiff, Denise I. Bounous and Amy L. MacNeill. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Biological Chemistry, Veterinary Clinics of North America Small Animal Practice, Current topics in developmental biology and Veterinary 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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