Jerome Evans

962 total citations
8 papers, 773 citations indexed

About

Jerome Evans is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Jerome Evans has authored 8 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Genetics. Recurrent topics in Jerome Evans's work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (4 papers) and Acute Myeloid Leukemia Research (2 papers). Jerome Evans is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (4 papers) and Acute Myeloid Leukemia Research (2 papers). Jerome Evans collaborates with scholars based in United Kingdom, United States and Serbia. Jerome Evans's co-authors include Lyle Armstrong, Majlinda Lako, Miodrag Stojković, Petra Stojković, Rebecca Stewart, Ilka Wappler, Stefan Przyborski, Sun Yung, Louise Hyslop and Heiko Peters and has published in prestigious journals such as Human Molecular Genetics, Cell Death and Differentiation and Stem Cells.

In The Last Decade

Jerome Evans

8 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerome Evans United Kingdom 7 631 185 181 120 97 8 773
Sandii N. Brimble United States 7 610 1.0× 212 1.1× 113 0.6× 61 0.5× 49 0.5× 8 684
Adam Filipczyk Australia 11 744 1.2× 139 0.8× 115 0.6× 68 0.6× 49 0.5× 13 833
Tsuyoshi Fujioka Japan 9 639 1.0× 148 0.8× 170 0.9× 73 0.6× 62 0.6× 16 797
Marilyne Levadoux‐Martin Canada 11 708 1.1× 85 0.5× 131 0.7× 85 0.7× 65 0.7× 13 906
Mitsujiro Osawa Japan 8 588 0.9× 95 0.5× 193 1.1× 67 0.6× 114 1.2× 19 763
Ilana Laevsky Israel 9 1.1k 1.7× 394 2.1× 280 1.5× 130 1.1× 84 0.9× 14 1.2k
Shi-Jiang Lu United States 8 549 0.9× 80 0.4× 162 0.9× 156 1.3× 97 1.0× 8 835
Koula Sourris Australia 14 900 1.4× 159 0.9× 191 1.1× 76 0.6× 86 0.9× 16 1.1k
Norihiro Tsuneyoshi Japan 11 854 1.4× 136 0.7× 349 1.9× 48 0.4× 51 0.5× 12 1.0k
Huang-Tian Yang China 6 715 1.1× 152 0.8× 356 2.0× 65 0.5× 76 0.8× 7 944

Countries citing papers authored by Jerome Evans

Since Specialization
Citations

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

Fields of papers citing papers by Jerome Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerome Evans

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

All Works

8 of 8 papers shown
1.
Tilgner, Katarzyna, Irina Neganova, Inmaculada Moreno, et al.. (2013). A human iPSC model of Ligase IV deficiency reveals an important role for NHEJ-mediated-DSB repair in the survival and genomic stability of induced pluripotent stem cells and emerging haematopoietic progenitors. Cell Death and Differentiation. 20(8). 1089–1100. 37 indexed citations
2.
Tilgner, Katarzyna, Irina Neganova, Gabriele Saretzki, et al.. (2013). Brief report: A human induced pluripotent stem cell model of cernunnos deficiency reveals an important role for XLF in the survival of the primitive hematopoietic progenitors. Stem Cells. 31(9). 2015–2023. 15 indexed citations
3.
Armstrong, Lyle, Sun Yung, Louise Hyslop, et al.. (2006). The role of PI3K/AKT, MAPK/ERK and NFκβ signalling in the maintenance of human embryonic stem cell pluripotency and viability highlighted by transcriptional profiling and functional analysis. Human Molecular Genetics. 15(11). 1894–1913. 310 indexed citations
4.
Stojković, Petra, Majlinda Lako, Stefan Przyborski, et al.. (2005). Human‐Serum Matrix Supports Undifferentiated Growth of Human Embryonic Stem Cells. Stem Cells. 23(7). 895–902. 91 indexed citations
5.
Stojković, Petra, Majlinda Lako, Rebecca Stewart, et al.. (2005). An Autogeneic Feeder Cell System That Efficiently Supports Growth of Undifferentiated Human Embryonic Stem Cells. Stem Cells. 23(3). 306–314. 185 indexed citations
6.
Armstrong, Lyle, Gabriele Saretzki, Heiko Peters, et al.. (2005). Overexpression of Telomerase Confers Growth Advantage, Stress Resistance, and Enhanced Differentiation of ESCs Toward the Hematopoietic Lineage. Stem Cells. 23(4). 516–529. 117 indexed citations
7.
George, Rani E., et al.. (1994). Secondary chronic myelomonocytic leukemia with t(9;11) in a child. Cancer Genetics and Cytogenetics. 75(1). 64–66. 4 indexed citations
8.
Bown, Nick, et al.. (1992). Chronic myelomonocytic leukemia with t(13;14) in a child. Cancer Genetics and Cytogenetics. 60(2). 190–192. 14 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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