Amanda Mitchell

56 papers receiving 2.3k citations

Hit Papers

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia 2022 · 150 citations
150202220262023202450100150

Peers

Amanda Mitchell
Comparison fields: 5 of 109
  • Biological Psychiatry 153
  • Hematology 438
  • Genetics 591
  • Molecular Biology 1.3k
  • Cognitive Neuroscience 341
Replace Armin Schumacher with:
Armin Schumacher United States
Stephan Züchner United States
Martin Begemann Germany
Oleg V. Evgrafov United States
Aswin Sekar United States
Laura Pozzi Italy
Boris P. Sokolov United States
Yijing Su United States
Howard K. Gershenfeld United States
Jessy Présumey France
Amanda Mitchell relative to Armin Schumacher United States Armin Schumacher's profile →
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Citations per year

Countries citing papers authored by Amanda Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017349
2 2008294
3 2015224
4
A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia
Hit paper breakdown →
2022150
5 2015114
6 201293
7 200674
8 201762
9 200861
10 201660
11 201460
12 201860
13 201259
14 202049
15 201446
16 201339
17 201739
18 201538
19 202037
20 201335

About Amanda Mitchell

Amanda Mitchell is a scholar working on Hematology, Biological Psychiatry, Genetics, Molecular Biology and Aging, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Epigenetics and DNA Methylation (16 papers), Genetics and Neurodevelopmental Disorders (14 papers), Protein Degradation and Inhibitors (8 papers), Genomics and Chromatin Dynamics (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Cancer Genomics and Diagnostics (5 papers) and Autism Spectrum Disorder Research (4 papers). The work is most often cited by research in Biological Psychiatry (153 citations), Hematology (438 citations), Genetics (591 citations), Molecular Biology (1.3k citations) and Cognitive Neuroscience (341 citations). Amanda Mitchell has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Schahram Akbarian, Károly Mirnics, Eric J. Nestler, Marija Kundaković, Krassimira Garbett, Catherine J. Peña, Philip J. Ebert, Antonio M. Persico, Barbara Manzi and Carla Lintas. Their work appears in journals such as Blood, Experimental Hematology, Biological Psychiatry, Nature Communications and PLoS Biology.

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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