Kate Swanson

31 papers receiving 387 citations

Peers

Kate Swanson
Comparison fields: 5 of 53
  • Hematology 117
  • Geriatrics and Gerontology 29
  • Transplantation 16
  • Pediatrics, Perinatology and Child Health 91
  • Obstetrics and Gynecology 30
Replace Gioia De Angelis with:
Gioia De Angelis Italy
Cristiano Gallucci Italy
Thuan-Chong Quah Singapore
Cecilia Alfieri Italy
Patricia E. Zerra United States
Vanina Castaigne France
Sangeeta Pathak United Kingdom
Piotr Gembara France
W.J. Burlingham United States
Tariq Ghafoor Pakistan
Kate Swanson relative to Gioia De Angelis Italy Gioia De Angelis's profile →
Citations per field
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Gioia De Angelis · 1×
Citations per year

Countries citing papers authored by Kate Swanson

Since Specialization
Citations

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

Fields of papers citing papers by Kate Swanson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201290
2 200964
3 200843
4 201329
5 202017
6 202314
7 202114
8 201714
9 202113
10 201713
11 202012
12 20217
13 20117
14 20186
15 20215
16 20205
17 20205
18 20215
19 20214
20 20094

About Kate Swanson

Kate Swanson is a scholar working on Pediatrics, Perinatology and Child Health, Genetics, Geriatrics and Gerontology, Oncology and Physiology, having authored 35 papers that have together received 394 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (9 papers), Nutrition and Health in Aging (3 papers), Genomics and Rare Diseases (3 papers), Frailty in Older Adults (3 papers), Urological Disorders and Treatments (2 papers), Polyomavirus and related diseases (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (117 citations), Geriatrics and Gerontology (29 citations), Transplantation (16 citations), Pediatrics, Perinatology and Child Health (91 citations) and Obstetrics and Gynecology (30 citations). Kate Swanson has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Andrew Artz, Koen van Besien, Wendy Stock, Elizabeth Rich, Dana R. Gossett, Masha Kocherginsky, Paula del Cerro, William A. Grobman, Lori Muffly and Linda Schroeder. Their work appears in journals such as Prenatal Diagnosis, Biology of Blood and Marrow Transplantation, American Journal of Obstetrics and Gynecology, American Journal of Perinatology and Obstetrics and Gynecology.

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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