Stefanie K. Forest

1.2k citations
17 papers · 955 · 1 hit paper · h-index 8

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 3
    • Alzheimer's disease research and treatments 4

Stefanie K. Forest

16 papers receiving 936 citations

Stefanie K. Forest's Hit Papers

Covid-19 and Kidney Transplantation 2020 · 595 citations
5950+2+4Years since publication100200300400500

Peers

Stefanie K. Forest
Comparison fields: 5 of 79
  • Infectious Diseases 635
  • Obstetrics and Gynecology 148
  • Neurology 196
  • Transplantation 31
  • Oncology 133
Replace Juan C. Diaz Soto with:
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Stefanie K. Forest relative to Juan C. Diaz Soto United States Juan C. Diaz Soto's profile →
Citations per field
00.5×5×10×15.5×
Juan C. Diaz Soto · 1×
Citations per year

Countries citing papers authored by Stefanie K. Forest

Since Specialization
Citations

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

Fields of papers citing papers by Stefanie K. Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefanie K. Forest. 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 Stefanie K. Forest. The network helps show where Stefanie K. Forest may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Covid-19 and Kidney Transplantation
Hit paper breakdown →
2020595
2 202096
3 202191
4 201253
5 201645
6 201520
7 201219
8 202012
9 20168
10 20227
11 20233
12 20162
13 20121
14 20171
15 20181
16 20211
17 20240

About Stefanie K. Forest

Stefanie K. Forest is a scholar working on Infectious Diseases, Physiology, Biochemistry, Neurology and Hematology, having authored 17 papers that have together received 955 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Alzheimer's disease research and treatments (4 papers), COVID-19 Clinical Research Studies (3 papers), Blood groups and transfusion (2 papers), Blood transfusion and management (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Infectious Diseases (635 citations), Obstetrics and Gynecology (148 citations), Neurology (196 citations), Transplantation (31 citations) and Oncology (133 citations). Stefanie K. Forest has collaborated with scholars based in United States and Italy. Frequent co-authors include Michael Parides, Maria Ajaimy, Luz E. Liriano-Ward, Cindy T. Pynadath, Rachel M. Bartash, Jay A. Graham, Enver Akalin, Milan M. Kinkhabwala, Marie Le and Juan Pablo Rocca. Their work appears in journals such as American Journal of Clinical Pathology, Neurobiology of Aging, Hematology/Oncology Clinics of North America, Cancer Cell and Archives of Pathology & Laboratory Medicine.

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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