Adam S. Adler

4.6k total citations · 1 hit paper
40 papers, 3.5k citations indexed

About

Adam S. Adler is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Adam S. Adler has authored 40 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Oncology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Adam S. Adler's work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (8 papers) and Genomics and Chromatin Dynamics (6 papers). Adam S. Adler is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (8 papers) and Genomics and Chromatin Dynamics (6 papers). Adam S. Adler collaborates with scholars based in United States, Israel and United Kingdom. Adam S. Adler's co-authors include Howard Y. Chang, Tiara L.A. Kawahara, Eran Segal, Meihong Lin, Elisabeth Berber, Katrin F. Chua, Ron McCord, Lisa D. Boxer, Eriko Michishita and Saurabh Sinha and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Adam S. Adler

39 papers receiving 3.4k citations

Hit Papers

SIRT6 Links Histone H3 Ly... 2009 2026 2014 2020 2009 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adam S. Adler United States 26 1.9k 587 584 578 575 40 3.5k
Ron Firestein United States 35 2.9k 1.6× 384 0.7× 195 0.3× 679 1.2× 1.2k 2.1× 59 4.3k
Stefanie Galbán United States 29 2.8k 1.5× 153 0.3× 366 0.6× 912 1.6× 1.0k 1.8× 74 4.5k
Sarki A. Abdulkadir United States 38 2.6k 1.4× 447 0.8× 79 0.1× 881 1.5× 1.2k 2.2× 93 4.4k
Junfang Ji China 25 3.1k 1.6× 293 0.5× 88 0.2× 2.4k 4.1× 1.3k 2.2× 55 4.9k
Andree Blaukat Germany 31 2.1k 1.1× 47 0.1× 275 0.5× 277 0.5× 803 1.4× 94 3.6k
Dung‐Fang Lee United States 36 4.9k 2.6× 89 0.2× 157 0.3× 1.4k 2.4× 1.6k 2.7× 87 6.3k
Xuanmao Jiao United States 30 1.8k 1.0× 125 0.2× 90 0.2× 655 1.1× 1.3k 2.3× 58 3.0k
Gonzalo Goméz-López Spain 43 3.9k 2.1× 113 0.2× 96 0.2× 1.3k 2.2× 1.1k 2.0× 111 6.2k
Kirsteen H. Maclean United States 25 2.6k 1.4× 67 0.1× 127 0.2× 761 1.3× 1.1k 1.9× 30 3.6k
Andrew B. Nixon United States 33 3.3k 1.8× 102 0.2× 105 0.2× 685 1.2× 2.2k 3.8× 168 5.6k

Countries citing papers authored by Adam S. Adler

Since Specialization
Citations

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

Fields of papers citing papers by Adam S. Adler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam S. Adler

This figure shows the co-authorship network connecting the top 25 collaborators of Adam S. Adler. A scholar is included among the top collaborators of Adam S. Adler 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 Adam S. Adler. Adam S. Adler 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
1.
Carter, Kyle P., Yoong Wearn Lim, G Y Chau, et al.. (2024). High-throughput specificity profiling of antibody libraries using ribosome display and microfluidics. Cell Reports Methods. 4(12). 100934–100934. 1 indexed citations
2.
Wayham, Nicholas, Jan Fredrik Simons, Ilana Segal, et al.. (2023). A Potent Recombinant Polyclonal Antibody Therapeutic for Protection Against New Severe Acute Respiratory Syndrome Coronavirus 2 Variants of Concern. The Journal of Infectious Diseases. 228(5). 555–563. 6 indexed citations
3.
Lim, Yoong Wearn, et al.. (2021). Single-cell transcriptomics reveals the effect of PD-L1/TGF-β blockade on the tumor microenvironment. BMC Biology. 19(1). 107–107. 17 indexed citations
4.
Spindler, Matthew, John S. Bridgeman, James Heather, et al.. (2020). Massively parallel interrogation and mining of natively paired human TCRαβ repertoires. Nature Biotechnology. 38(5). 609–619. 37 indexed citations
5.
Adler, Adam S., Daniel Bedinger, Matthew S. Adams, et al.. (2018). A natively paired antibody library yields drug leads with higher sensitivity and specificity than a randomly paired antibody library. mAbs. 10(3). 431–443. 24 indexed citations
6.
McCleland, Mark L., Adam S. Adler, Ely Cosino, et al.. (2012). Lactate Dehydrogenase B Is Required for the Growth of KRAS-Dependent Lung Adenocarcinomas. Clinical Cancer Research. 19(4). 773–784. 93 indexed citations
7.
McCleland, Mark L., Adam S. Adler, Yonglei Shang, et al.. (2012). An Integrated Genomic Screen Identifies LDHB as an Essential Gene for Triple-Negative Breast Cancer. Cancer Research. 72(22). 5812–5823. 150 indexed citations
8.
Littlepage, Laurie E., Adam S. Adler, Hosein Kouros‐Mehr, et al.. (2012). The Transcription Factor ZNF217 Is a Prognostic Biomarker and Therapeutic Target during Breast Cancer Progression. Cancer Discovery. 2(7). 638–651. 54 indexed citations
9.
Adler, Adam S., Mark L. McCleland, Tom Truong, et al.. (2012). CDK8 Maintains Tumor Dedifferentiation and Embryonic Stem Cell Pluripotency. Cancer Research. 72(8). 2129–2139. 80 indexed citations
10.
Wirt, Stacey E., Adam S. Adler, James M. Weimann, et al.. (2010). G1 arrest and differentiation can occur independently of Rb family function. The Journal of Cell Biology. 191(4). 809–825. 28 indexed citations
11.
Kawahara, Tiara L.A., Eriko Michishita, Adam S. Adler, et al.. (2009). SIRT6 Links Histone H3 Lysine 9 Deacetylation to NF-κB-Dependent Gene Expression and Organismal Life Span. Cell. 136(1). 62–74. 900 indexed citations breakdown →
12.
Wong, David J., Dimitry S.A. Nuyten, Aviv Regev, et al.. (2008). Revealing Targeted Therapy for Human Cancer by Gene Module Maps. Cancer Research. 68(2). 369–378. 45 indexed citations
13.
Adler, Adam S., Laurie E. Littlepage, Meihong Lin, et al.. (2008). CSN5 Isopeptidase Activity Links COP9 Signalosome Activation to Breast Cancer Progression. Cancer Research. 68(2). 506–515. 56 indexed citations
14.
Adler, Adam S., Tiara L.A. Kawahara, Eran Segal, & Howard Y. Chang. (2008). Reversal of aging by NFκB blockade. Cell Cycle. 7(5). 556–559. 83 indexed citations
15.
Sinha, Saurabh, Adam S. Adler, Yair Field, Howard Y. Chang, & Eran Segal. (2008). Systematic functional characterization ofcis-regulatory motifs in human core promoters. Genome Research. 18(3). 477–488. 51 indexed citations
16.
Segal, Eran, Claude B. Sirlin, Adam S. Adler, et al.. (2007). Decoding global gene expression programs in liver cancer by noninvasive imaging. Nature Biotechnology. 25(6). 675–680. 462 indexed citations
17.
Liu, Helen, Adam S. Adler, Eran Segal, & Howard Y. Chang. (2007). A Transcriptional Program Mediating Entry into Cellular Quiescence. PLoS Genetics. 3(6). e91–e91. 61 indexed citations
18.
Atkuri, Kondala R., Debabrita Deb-Basu, Adam S. Adler, et al.. (2006). MYC Can Induce DNA Breaks In vivo and In vitro Independent of Reactive Oxygen Species. Cancer Research. 66(13). 6598–6605. 84 indexed citations
19.
Adler, Adam S. & Howard Y. Chang. (2006). From Description to Causality: Mechanisms of Gene Expression Signatures in Cancer. Cell Cycle. 5(11). 1148–1151. 12 indexed citations

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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