Enid Y.N. Lam

5.7k total citations
18 papers, 1.2k citations indexed

About

Enid Y.N. Lam is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Enid Y.N. Lam has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Enid Y.N. Lam's work include Genomics and Chromatin Dynamics (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Single-cell and spatial transcriptomics (2 papers). Enid Y.N. Lam is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Single-cell and spatial transcriptomics (2 papers). Enid Y.N. Lam collaborates with scholars based in Australia, New Zealand and United Kingdom. Enid Y.N. Lam's co-authors include Shankar Balasubramanian, David Tannahill, Dario Beraldi, Philip S. Crosier, Kathryn E. Crosier, Maria Vega Flores, Christopher J. Hall, Mehran Nikan, Ramon Kranaster and Eun‐Ang Raiber and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Enid Y.N. Lam

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enid Y.N. Lam Australia 13 962 239 223 103 90 18 1.2k
Karla L. Ewalt United States 17 1.5k 1.6× 107 0.4× 227 1.0× 128 1.2× 51 0.6× 21 1.7k
Craig E. Eckfeldt United States 13 607 0.6× 191 0.8× 180 0.8× 63 0.6× 113 1.3× 25 923
Katja Langenfeld Germany 9 667 0.7× 68 0.3× 96 0.4× 189 1.8× 56 0.6× 14 920
Xiongfong Chen United States 16 643 0.7× 143 0.6× 74 0.3× 88 0.9× 61 0.7× 25 878
Surabhi Gupta India 13 300 0.3× 88 0.4× 116 0.5× 104 1.0× 25 0.3× 47 732
Sabine Wegehingel Germany 17 890 0.9× 478 2.0× 280 1.3× 43 0.4× 33 0.4× 22 1.2k
Stella Pearson United Kingdom 12 495 0.5× 268 1.1× 128 0.6× 67 0.7× 131 1.5× 26 689
Ai Kaiho Japan 13 914 1.0× 203 0.8× 88 0.4× 273 2.7× 18 0.2× 14 1.1k
Melanie A. McGill Canada 7 560 0.6× 219 0.9× 86 0.4× 61 0.6× 23 0.3× 8 841
Sweta Srivastava India 12 416 0.4× 260 1.1× 47 0.2× 92 0.9× 20 0.2× 23 668

Countries citing papers authored by Enid Y.N. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Enid Y.N. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enid Y.N. Lam. 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 Enid Y.N. Lam. The network helps show where Enid Y.N. Lam may publish in the future.

Co-authorship network of co-authors of Enid Y.N. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Enid Y.N. Lam. A scholar is included among the top collaborators of Enid Y.N. Lam 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 Enid Y.N. Lam. Enid Y.N. Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Fennell, Katie, et al.. (2024). Analysis of synthetic cellular barcodes in the genome and transcriptome with BARtab and bartools. Cell Reports Methods. 4(5). 100763–100763. 4 indexed citations
2.
Bell, Charles C., Jesse J. Balic, Andrea Gillespie, et al.. (2024). Comparative cofactor screens show the influence of transactivation domains and core promoters on the mechanisms of transcription. Nature Genetics. 56(6). 1181–1192. 11 indexed citations
3.
4.
Gilan, Omer, Charles C. Bell, Kathy Knezevic, et al.. (2023). CRISPR–ChIP reveals selective regulation of H3K79me2 by Menin in MLL leukemia. Nature Structural & Molecular Biology. 30(10). 1592–1606. 12 indexed citations
5.
Gillespie, Andrea, Ali Motazedian, Kah Lok Chan, et al.. (2023). Targeting Menin disrupts the KMT2A/B and polycomb balance to paradoxically activate bivalent genes. Nature Cell Biology. 25(2). 258–272. 19 indexed citations
6.
Fennell, Katie, Dane Vassiliadis, Enid Y.N. Lam, et al.. (2021). Non-genetic determinants of malignant clonal fitness at single-cell resolution. Nature. 601(7891). 125–131. 76 indexed citations
7.
Khoueiry, Pierre, Aoife Ward, M. Petretich, et al.. (2019). BRD4 bimodal binding at promoters and drug-induced displacement at Pol II pause sites associates with I-BET sensitivity. Epigenetics & Chromatin. 12(1). 39–39. 20 indexed citations
8.
Lensing, Stefanie V., Giovanni Marsico, Robert Hänsel‐Hertsch, et al.. (2016). DSBCapture: in situ capture and sequencing of DNA breaks. Nature Methods. 13(10). 855–857. 110 indexed citations
9.
Lensing, Stefanie V., Giovanni Marsico, Robert Hänsel‐Hertsch, et al.. (2016). DSBCapture: in situ single-nucleotide resolution DNA double-strand break mapping. Protocol Exchange. 1 indexed citations
10.
Martínez-Conejero, José Antonio, Peter Sykes, Iris L. Sin, et al.. (2014). In the secretory endometria of women, luminal epithelia exhibit gene and protein expressions that differ from those of glandular epithelia. Fertility and Sterility. 102(1). 307–317.e7. 18 indexed citations
11.
Lam, Enid Y.N., Dario Beraldi, David Tannahill, & Shankar Balasubramanian. (2013). G-quadruplex structures are stable and detectable in human genomic DNA. Nature Communications. 4(1). 1796–1796. 375 indexed citations
12.
Hall, Christopher J., Maria Vega Flores, Stefan H. Oehlers, et al.. (2012). Infection-Responsive Expansion of the Hematopoietic Stem and Progenitor Cell Compartment in Zebrafish Is Dependent upon Inducible Nitric Oxide. Cell stem cell. 10(2). 198–209. 102 indexed citations
13.
Martínez-Conejero, José Antonio, Carlos Simón, Peter Sykes, et al.. (2012). Gene and protein expression signature of endometrial glandular and stromal compartments during the window of implantation. Fertility and Sterility. 97(6). 1365–1373.e2. 37 indexed citations
14.
Raiber, Eun‐Ang, Ramon Kranaster, Enid Y.N. Lam, Mehran Nikan, & Shankar Balasubramanian. (2011). A non-canonical DNA structure is a binding motif for the transcription factor SP1 in vitro. Nucleic Acids Research. 40(4). 1499–1508. 164 indexed citations
15.
Lam, Enid Y.N., Christopher J. Hall, Philip S. Crosier, Kathryn E. Crosier, & Maria Vega Flores. (2010). Live imaging of Runx1 expression in the dorsal aorta tracks the emergence of blood progenitors from endothelial cells. Blood. 116(6). 909–914. 141 indexed citations
16.
Flores, Maria Vega, Enid Y.N. Lam, Kathryn E. Crosier, & Philip S. Crosier. (2008). Osteogenic transcription factor Runx2 is a maternal determinant of dorsoventral patterning in zebrafish. Nature Cell Biology. 10(3). 346–352. 37 indexed citations
17.
Lam, Enid Y.N., Maggie L. Kalev‐Zylinska, Christopher J. Hall, et al.. (2008). Zebrafish runx1 promoter-EGFP transgenics mark discrete sites of definitive blood progenitors. Blood. 113(6). 1241–1249. 52 indexed citations
18.
Flores, Maria Vega, Enid Y.N. Lam, Philip S. Crosier, & Kathryn E. Crosier. (2006). A hierarchy of Runx transcription factors modulate the onset of chondrogenesis in craniofacial endochondral bones in zebrafish. Developmental Dynamics. 235(11). 3166–3176. 70 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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