Cari Petrow‐Sadowski

1.6k citations
17 papers · 827 · h-index 12

Impact in

Papers in

Cari Petrow‐Sadowski

17 papers receiving 813 citations

Peers

Cari Petrow‐Sadowski
Comparison fields: 5 of 67
  • Agronomy and Crop Science 390
  • Immunology 575
  • Ecology, Evolution, Behavior and Systematics 363
  • Virology 59
  • Cell Biology 49
Replace Madeleine Duc Dodon with:
Madeleine Duc Dodon France
Koju Kamoi Japan
Anne Van den Broeke Belgium
Chloé Journo France
Michi Miura Japan
Sandrine Alais France
Hisanaga Igarashi Japan
Gilles Gaudray France
Aileen Rowan United Kingdom
Norihiro Takenouchi Japan
Cari Petrow‐Sadowski relative to Madeleine Duc Dodon France Madeleine Duc Dodon's profile →
Citations per field
00.5×1.6×
Madeleine Duc Dodon · 1×
Citations per year

Countries citing papers authored by Cari Petrow‐Sadowski

Since Specialization
Citations

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

Fields of papers citing papers by Cari Petrow‐Sadowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cari Petrow‐Sadowski. 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 Cari Petrow‐Sadowski. The network helps show where Cari Petrow‐Sadowski may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008218
2 2005154
3 2009121
4 200172
5 200669
6 200332
7 201132
8 200330
9 200529
10 200418
11 201116
12 200215
13 20079
14 20098
15 20142
16 20111
17 20111

About Cari Petrow‐Sadowski

Cari Petrow‐Sadowski is a scholar working on Immunology, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Virology, having authored 17 papers that have together received 827 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (13 papers), Animal Disease Management and Epidemiology (11 papers), Vector-Borne Animal Diseases (9 papers), HIV Research and Treatment (2 papers), Mast cells and histamine (1 paper), TGF-β signaling in diseases (1 paper), Kruppel-like factors research (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Agronomy and Crop Science (390 citations), Immunology (575 citations), Ecology, Evolution, Behavior and Systematics (363 citations), Virology (59 citations) and Cell Biology (49 citations). Cari Petrow‐Sadowski has collaborated with scholars based in United States, France and Jordan. Frequent co-authors include Francis W. Ruscetti, Kathryn S. Jones, Daniel Bertolette, Ying Huang, Ying Huang, Judy A. Mikovits, Rachel Bagni, Salem Akel, Jing‐Yuan Fang and Nikolaus Heveker. Their work appears in journals such as Journal of Virology, Retrovirology, Science, Blood and Stem Cells.

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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