Alex Lash

25.5k citations
24 papers · 2.3k indexed · h-index 15

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Molecular Biology Techniques and Applications
    • Cancer Genomics and Diagnostics

Papers in

    • Bioinformatics and Genomic Networks 4
    • Gene expression and cancer classification 3
    • Genomics and Phylogenetic Studies 2
    • Genomics and Rare Diseases 3

Alex Lash

23 papers receiving 2.3k citations

Peers

Alex Lash
Comparison fields: 5 of 129
  • Molecular Biology 1.5k
  • Cancer Research 295
  • Oncology 530
  • Genetics 148
  • Aging 21
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Citations per field
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Citations per year

Countries citing papers authored by Alex Lash

Since Specialization
Citations

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

Fields of papers citing papers by Alex Lash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005354
2
A public database for gene expression in human cancers.
1999346
3 2000334
4 2016265
5 2006195
6 1997174
7 2009147
8 2006138
9 200888
10 200774
11 201844
12 201641
13 199930
14 199724
15 200418
16 201013
17 201210
18 20188
19
A pilot study of interferon alpha-2a, fluorouracil, and leucovorin given with granulocyte-macrophage colony stimulating factor in advanced gastrointestinal adenocarcinoma.
19994
20 20162

About Alex Lash

Alex Lash is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Cancer Research and Cognitive Neuroscience, having authored 24 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Bioinformatics and Genomic Networks (4 papers), Autism Spectrum Disorder Research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Genomics and Rare Diseases (3 papers), Gene expression and cancer classification (3 papers), Genomics and Phylogenetic Studies (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (295 citations), Oncology (530 citations), Genetics (148 citations) and Aging (21 citations). Alex Lash has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Stephen F. Altschul, Gregory J. Riggins, Robert L. Strausberg, Lukas Wagner, Faina Bogomolniy, Douglas A. Levine, Jeff Boyd, Cindy J. Yee, Patrick I. Borgen and Richard R. Barakat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Cancer Research, Genome Research, Nucleic Acids Research and Neoplasia.

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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