Alexa S. Green

2.7k citations
28 papers · 1.6k indexed · h-index 17
Topics
PI3K/AKT/mTOR signaling in cancer (10 papers)Acute Myeloid Leukemia Research (6 papers)Cancer Mechanisms and Therapy (5 papers)

In The Last Decade

Alexa S. Green

26 papers receiving 1.5k citations

Peers

Alexa S. Green
Comparison fields: 5 of 88
  • Molecular Biology 1.0k
  • Hematology 546
  • Oncology 276
  • Immunology 247
  • Cancer Research 192
Replace Séverine Cathelin with:
Séverine Cathelin Canada
David E. Muench United States
Anja Vales Austria
Zhenbo Hu China
Sinisa Dovat United States
Ruihong Wang United States
Monika Podhorecka Poland
Zhihong Fang China
Kimberley Joanne Hatfield Norway
Xiaofen Ye United States
Alexa S. Green relative to Séverine Cathelin Canada Séverine Cathelin's profile →
Citations per field
00.5×1.5×1.9×
Séverine Cathelin · 1×
Citations per year

Countries citing papers authored by Alexa S. Green

Since Specialization
Citations

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

Fields of papers citing papers by Alexa S. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexa S. Green. 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 Alexa S. Green. The network helps show where Alexa S. Green may publish in the future.

Co-authorship network of co-authors of Alexa S. Green

This figure shows the co-authorship network connecting the top 25 collaborators of Alexa S. Green. A scholar is included among the top collaborators of Alexa S. Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexa S. Green. Alexa S. Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 35
2 20
3 30
4 46
5 147
6 6
7 96
8 128
9 68
10 24
11 89
12 159
13 3
14 113
15 236
16 33
17 144
18 102
19
Changes in energy expenditure associated with weight loss or gain in cats
2
20
Judicial Election Candidates' Free Speech Rights After Republican Party of Minnesota v. White: Is the Problem Really Solved?
0

About Alexa S. Green

Alexa S. Green is a scholar working on Hematology, Pathology and Forensic Medicine and Small Animals, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (10 papers), Acute Myeloid Leukemia Research (6 papers) and Cancer Mechanisms and Therapy (5 papers). The work is most often cited by research in Hematology (546 citations), Genetics (166 citations) and Molecular Biology (1.0k citations). Alexa S. Green has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Jérôme Tamburini, Didier Bouscary, Nicolas Chapuis, Patrick Mayeux, Valérie Bardet, Lise Willems, Sophie Park, Catherine Lacombe, C. Lacombe and Norbert Ifrah. Their work appears in journals such as Blood, Clinical Cancer Research and British Journal of Cancer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026