Sarah Cooley

11.4k citations
142 papers · 8.0k indexed · 2 hit papers · h-index 47

Sarah Cooley

140 papers receiving 7.9k citations

Hit Papers

Human alteration of global ...3262011202620162021100200300400

Peers

Sarah Cooley
Comparison fields: 5 of 147
  • Immunology 5.8k
  • Hematology 2.2k
  • Oncology 3.1k
  • Atmospheric Science 613
  • Water Science and Technology 385
Replace James N. Kochenderfer with:
James N. Kochenderfer United States
James L. Mueller United States
Gerhard Held Germany
Ross Brown Australia
Jingzhi Wang China
Akira Kudō Japan
Michael L. Jones United States
Patrizia Comoli Italy
John L. McGregor Australia
Thierry Leblanc France
Sarah Cooley relative to James N. Kochenderfer United States James N. Kochenderfer's profile →
Citations per field
00.5×7.0×
James N. Kochenderfer · 1×
Citations per year

Countries citing papers authored by Sarah Cooley

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Cooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202119
2 202123
3 20201
4 202012
5 201913
6 201924
7 201893
8 201897
9 2018141
10 20188
11 201829
12 201845
13 201854
14 201760
15 20171
16 201778
17 2016295
18 2016157
19
Improved feature selection for hematopoietic cell transplantation outcome prediction using rank aggregation
20128
20
Cytomegalovirus reactivation after allogeneic transplantation promotes a lasting increase in educated NKG2C+ natural killer cells with potent functionbreakdown →
2011491

About Sarah Cooley

Sarah Cooley is a scholar working on Hematology, Immunology and Atmospheric Science, having authored 142 papers that have together received 8.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (92 papers), T-cell and B-cell Immunology (46 papers), Hematopoietic Stem Cell Transplantation (40 papers), CAR-T cell therapy research (29 papers), Cryospheric studies and observations (18 papers), Cytomegalovirus and herpesvirus research (18 papers), Climate change and permafrost (17 papers) and Acute Myeloid Leukemia Research (15 papers). The work is most often cited by research in Immunology (5.8k citations), Hematology (2.2k citations) and Oncology (3.1k citations). Sarah Cooley has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Jeffrey S. Miller, Daniel J. Weisdorf, Michael R. Verneris, L. C. Smith, Julie Curtsinger, Jonathan C. Ryan, Bruce R. Blazar, Xianghua Luo, Bree Foley and Peter Parham. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Blood Advances, Geophysical Research Letters and Clinical Cancer Research.

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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