Chris Esapa

1.0k total citations
9 papers, 320 citations indexed

About

Chris Esapa is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Chris Esapa has authored 9 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in Chris Esapa's work include Muscle Physiology and Disorders (3 papers), Renal and related cancers (3 papers) and Ubiquitin and proteasome pathways (2 papers). Chris Esapa is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Renal and related cancers (3 papers) and Ubiquitin and proteasome pathways (2 papers). Chris Esapa collaborates with scholars based in United Kingdom, Germany and Czechia. Chris Esapa's co-authors include Stephan Kröger, Derek J. Blake, Helen Hilton, Vrinda Sreekumar, Debbie Williams, Daniel T. Grimes, Dongsheng Wu, Dominic P. Norris, Rebecca Walker and Martin M. Knight and has published in prestigious journals such as Nature Communications, PLoS ONE and FEBS Letters.

In The Last Decade

Chris Esapa

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Esapa United Kingdom 8 271 92 57 48 34 9 320
Keri Ramsey United States 10 163 0.6× 97 1.1× 54 0.9× 27 0.6× 43 1.3× 14 255
Cristina Dias United Kingdom 11 172 0.6× 143 1.6× 30 0.5× 34 0.7× 21 0.6× 16 359
Monica Traverso Italy 13 348 1.3× 122 1.3× 81 1.4× 66 1.4× 67 2.0× 32 488
Cameron Mroske United States 9 156 0.6× 255 2.8× 39 0.7× 38 0.8× 19 0.6× 11 390
Jane Juusola United States 13 218 0.8× 192 2.1× 28 0.5× 34 0.7× 22 0.6× 22 390
Mazhor Aldosary Saudi Arabia 10 386 1.4× 93 1.0× 21 0.4× 47 1.0× 20 0.6× 17 454
Nobuyoshi Shimizu Japan 11 258 1.0× 81 0.9× 27 0.5× 57 1.2× 18 0.5× 14 376
Takuya Hiraide Japan 12 271 1.0× 185 2.0× 56 1.0× 82 1.7× 26 0.8× 34 441
Shinobu Fukumura Japan 11 149 0.5× 55 0.6× 43 0.8× 44 0.9× 53 1.6× 29 272
Amjad Khan Pakistan 12 170 0.6× 124 1.3× 39 0.7× 25 0.5× 11 0.3× 40 291

Countries citing papers authored by Chris Esapa

Since Specialization
Citations

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

Fields of papers citing papers by Chris Esapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Esapa

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

All Works

9 of 9 papers shown
1.
Poggiolini, Ilaria, Livia Civitelli, Emilia Galli, et al.. (2024). Unfolded protein response markers Grp78 and eIF2alpha are upregulated with increasing alpha‐synuclein levels in Lewy body disease. Neuropathology and Applied Neurobiology. 50(4). e12999–e12999. 2 indexed citations
2.
Banks, Gareth, Mathilde C. C. Guillaumin, Ines Heise, et al.. (2020). Forward genetics identifies a novel sleep mutant with sleep state inertia and REM sleep deficits. Science Advances. 6(33). eabb3567–eabb3567. 11 indexed citations
3.
Walker, Rebecca, Daniel T. Grimes, Vrinda Sreekumar, et al.. (2019). Ciliary exclusion of Polycystin-2 promotes kidney cystogenesis in an autosomal dominant polycystic kidney disease model. Nature Communications. 10(1). 4072–4072. 45 indexed citations
4.
Agnew, Thomas, Michelle Goldsworthy, Carlos Aguilar, et al.. (2018). A Wars2 Mutant Mouse Model Displays OXPHOS Deficiencies and Activation of Tissue-Specific Stress Response Pathways. Cell Reports. 25(12). 3315–3328.e6. 32 indexed citations
5.
Dean, Charlotte, Helen Hilton, Chris Esapa, et al.. (2018). Atmin modulates Pkhd1 expression and may mediate Autosomal Recessive Polycystic Kidney Disease (ARPKD) through altered non-canonical Wnt/Planar Cell Polarity (PCP) signalling. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(2). 378–390. 20 indexed citations
6.
Siggers, Pam, Gwenn-Aël Carré, Debora Bogani, et al.. (2014). A Novel Mouse Fgfr2 Mutant, Hobbyhorse (hob), Exhibits Complete XY Gonadal Sex Reversal. PLoS ONE. 9(6). e100447–e100447. 23 indexed citations
7.
Blank, Martina, et al.. (2007). Dystroglycan regulates structure, proliferation and differentiation of neuroepithelial cells in the developing vertebrate CNS. Developmental Biology. 307(1). 62–78. 30 indexed citations
8.
Esapa, Chris, et al.. (2003). The effects of post‐translational processing on dystroglycan synthesis and trafficking1. FEBS Letters. 555(2). 209–216. 47 indexed citations
9.
Esapa, Chris. (2002). Functional requirements for fukutin-related protein in the Golgi apparatus. Human Molecular Genetics. 11(26). 3319–3331. 110 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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