Vanessa M. Scarfone

1.9k citations
16 papers · 475 indexed · h-index 10
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation 3
    • Chronic Myeloid Leukemia Treatments 2
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 3
    • Herpesvirus Infections and Treatments 3
    • Cytomegalovirus and herpesvirus research 3

Vanessa M. Scarfone

16 papers receiving 473 citations

Peers

Vanessa M. Scarfone
Comparison fields: 5 of 67
  • Hematology 109
  • Neurology 62
  • Immunology 123
  • Genetics 53
  • Developmental Neuroscience 18
Replace Claire E. Hall with:
Claire E. Hall United Kingdom
Stuart Ellison United Kingdom
Stefania Merella Italy
Louisa Papke United States
Alessandro Marti Italy
Yawen Wang China
Marieta Cagánová Italy
Rita Creidy France
Claudia Nevinny-Stickel Germany
Neal D. Heuss United States
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Citations per year

Countries citing papers authored by Vanessa M. Scarfone

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa M. Scarfone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa M. Scarfone. 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 Vanessa M. Scarfone. The network helps show where Vanessa M. Scarfone may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20247
2 20241
3 20235
4 20231
5 202223
6 201974
7 201916
8 20182
9 201824
10 20179
11 201537
12 201530
13 201414
14 201349
15 2008128
16 200655

About Vanessa M. Scarfone

Vanessa M. Scarfone is a scholar working on Neurology, Hematology, Biological Psychiatry, Immunology and Genetics, having authored 16 papers that have together received 475 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Herpesvirus Infections and Treatments (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cytomegalovirus and herpesvirus research (3 papers), T-cell and B-cell Immunology (3 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (109 citations), Neurology (62 citations), Immunology (123 citations), Genetics (53 citations) and Developmental Neuroscience (18 citations). Vanessa M. Scarfone has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Michael G. Kharas, Michelle M. Lilly, Matthew R. Janes, Zachary A. Knight, Kevan M. Shokat, Matthew A. Inlay, Duc T. T. Phan, Hayk Davtyan, Mathew Blurton‐Jones and Christopher C.W. Hughes. Their work appears in journals such as Stem Cell Reports, Scientific Reports, Biological Psychiatry, Nature Communications and Stem Cells Translational 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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