Shane A. Evans

1.1k total citations
7 papers, 317 citations indexed

About

Shane A. Evans is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Shane A. Evans has authored 7 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Immunology. Recurrent topics in Shane A. Evans's work include Telomeres, Telomerase, and Senescence (3 papers), Genomics and Chromatin Dynamics (3 papers) and Single-cell and spatial transcriptomics (2 papers). Shane A. Evans is often cited by papers focused on Telomeres, Telomerase, and Senescence (3 papers), Genomics and Chromatin Dynamics (3 papers) and Single-cell and spatial transcriptomics (2 papers). Shane A. Evans collaborates with scholars based in United States. Shane A. Evans's co-authors include Nicola Neretti, John M. Sedivy, Takahiro Ito, Yee Voan Teo, Ashley E. Webb, Doudou Yu, Michael H. Rosenthal, Fred Huffer, Anuj Srivastava and David Fenyö and has published in prestigious journals such as Nucleic Acids Research, Cell Reports and Seminars in Cell and Developmental Biology.

In The Last Decade

Shane A. Evans

7 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shane A. Evans United States	6	237	72	43	38	31	7	317
Celeste B. Greer United States	10	383 1.6×	33 0.5×	26 0.6×	43 1.1×	71 2.3×	10	463
Cornelia E. Zorca Canada	10	236 1.0×	78 1.1×	49 1.1×	42 1.1×	19 0.6×	15	356
Sarallah Rezazadeh United States	6	362 1.5×	83 1.2×	43 1.0×	42 1.1×	44 1.4×	9	546
David A. Bennett United States	5	394 1.7×	46 0.6×	24 0.6×	39 1.0×	93 3.0×	12	476
Jinping Ma China	7	341 1.4×	30 0.4×	13 0.3×	25 0.7×	30 1.0×	9	429
Arkadi Shwartz United States	9	172 0.7×	19 0.3×	61 1.4×	26 0.7×	36 1.2×	10	337
Jesús Romero‐Pozuelo Spain	8	228 1.0×	20 0.3×	27 0.6×	35 0.9×	36 1.2×	10	346
Pui Pik Law United Kingdom	8	275 1.2×	46 0.6×	20 0.5×	28 0.7×	53 1.7×	10	383
Arivudainambi Ramalingam United States	9	219 0.9×	34 0.5×	29 0.7×	37 1.0×	128 4.1×	13	361
Jenny Blechingberg Denmark	10	294 1.2×	26 0.4×	20 0.5×	28 0.7×	67 2.2×	18	388

Countries citing papers authored by Shane A. Evans

Since Specialization

Citations

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

Fields of papers citing papers by Shane A. Evans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane A. Evans. 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 Shane A. Evans. The network helps show where Shane A. Evans may publish in the future.

Co-authorship network of co-authors of Shane A. Evans

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

All Works

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7 of 7 papers shown

1.

Kovacsovics-Bankowski, Magdalena, Johanna M. Sweere, Natalia Sigal, et al.. (2024). Lower frequencies of circulating suppressive regulatory T cells and higher frequencies of CD4⁺ naïve T cells at baseline are associated with severe immune-related adverse events in immune checkpoint inhibitor-treated melanoma. Journal for ImmunoTherapy of Cancer. 12(1). e008056–e008056. 9 indexed citations

2.

McKerrow, Wilson, Nicole Doudican, Shane A. Evans, et al.. (2023). LINE-1 retrotransposon expression in cancerous, epithelial and neuronal cells revealed by 5′ single-cell RNA-Seq. Nucleic Acids Research. 51(5). 2033–2045. 12 indexed citations

3.

Neretti, Nicola, Shane A. Evans, Yee Voan Teo, et al.. (2023). Single-Cell Transcriptomics Reveals Global Markers of Transcriptional Diversity across Different Forms of Cellular Senescence. PubMed. 1(1). 20230008–20230008. 1 indexed citations

4.

Yu, Doudou, et al.. (2022). Single-cell analysis of the aging female mouse hypothalamus. Nature Aging. 2(7). 662–678. 68 indexed citations

5.

Rosenthal, Michael H., et al.. (2019). Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data. Journal of Computational Biology. 26(11). 1191–1202. 32 indexed citations

6.

Ito, Takahiro, Yee Voan Teo, Shane A. Evans, Nicola Neretti, & John M. Sedivy. (2018). Regulation of Cellular Senescence by Polycomb Chromatin Modifiers through Distinct DNA Damage- and Histone Methylation-Dependent Pathways. Cell Reports. 22(13). 3480–3492. 176 indexed citations

7.

Evans, Shane A., et al.. (2018). The three-dimensional organization of the genome in cellular senescence and age-associated diseases. Seminars in Cell and Developmental Biology. 90. 154–160. 19 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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