Andrew P. Weng

15.4k citations
100 papers · 9.0k indexed · 4 hit papers · h-index 32

Andrew P. Weng

95 papers receiving 8.8k citations

Hit Papers

NOTCH1 directly regulates c-MYC and activates a feed-forw...639200220262010201850010001.5k2.0k

Peers

Andrew P. Weng
Comparison fields: 5 of 160
  • Hematology 1.4k
  • Genetics 924
  • Molecular Biology 5.7k
  • Pathology and Forensic Medicine 1.5k
  • Cancer Research 1.2k
Replace Shikha Bose with:
Shikha Bose United States
Stephan W. Morris United States
Mattias Höglund Sweden
Hiroyuki Mano Japan
Adam B. Olshen United States
Guido Jenster Netherlands
Rork Kuick United States
Åke Borg Sweden
Matthew J. Walter United States
Dan Pinkel United States
Andrew P. Weng relative to Shikha Bose United States Shikha Bose's profile →
Citations per field
00.5×3.2×
Shikha Bose · 1×
Citations per year

Countries citing papers authored by Andrew P. Weng

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Weng. 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 Andrew P. Weng. The network helps show where Andrew P. Weng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20246
3 20244
4 20229
5 20210
6 202018
7 20184
8 201817
9 201717
10 201721
11 201483
12 201217
13
NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growthbreakdown →
2006639
14 2004235
15
Activating Mutations of NOTCH1 in Human T Cell Acute Lymphoblastic Leukemiabreakdown →
20042013
16 2004163
17 200383
18 20036
19 2002211
20 199515

About Andrew P. Weng

Andrew P. Weng is a scholar working on Hematology, Pathology and Forensic Medicine and Immunology, having authored 100 papers that have together received 9.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (28 papers), Acute Lymphoblastic Leukemia research (20 papers), Epigenetics and DNA Methylation (16 papers), Acute Myeloid Leukemia Research (15 papers), Cancer-related gene regulation (12 papers), Chronic Lymphocytic Leukemia Research (9 papers), T-cell and Retrovirus Studies (8 papers) and Single-cell and spatial transcriptomics (8 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (924 citations) and Molecular Biology (5.7k citations). Andrew P. Weng has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Jon C. Aster, Stephen C. Blacklow, Adolfo A. Ferrando, A. Thomas Look, Cheryll Sanchez-Irizarry, Lewis B. Silverman, John P. Morris, Woojoong Lee, Warren S. Pear and Donna Neuberg. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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