Emma Sawyer

3.2k total citations
8 papers, 416 citations indexed

About

Emma Sawyer is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Emma Sawyer has authored 8 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Emma Sawyer's work include BRCA gene mutations in cancer (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Sexual Differentiation and Disorders (2 papers). Emma Sawyer is often cited by papers focused on BRCA gene mutations in cancer (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Sexual Differentiation and Disorders (2 papers). Emma Sawyer collaborates with scholars based in United Kingdom, United States and Thailand. Emma Sawyer's co-authors include Zsofia Kote‐Jarai, Rosemary Wilkinson, Rosalind A. Eeles, Michelle Guy, Tokhir Dadaev, Koveela Govindasami, Chee Goh, Daniel Leongamornlert, Malgorzata Tymrakiewicz and Edward J. Saunders and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and British Journal Of Nutrition.

In The Last Decade

Emma Sawyer

7 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emma Sawyer United Kingdom	5	219	184	139	120	95	8	416
H. Ballentine Carter United States	9	296 1.4×	92 0.5×	75 0.5×	113 0.9×	101 1.1×	13	395
P C Walsh United States	9	485 2.2×	172 0.9×	214 1.5×	104 0.9×	117 1.2×	12	698
Graça Varzim Portugal	7	169 0.8×	512 2.8×	33 0.2×	79 0.7×	188 2.0×	7	589
Nozomi Shinohara Japan	10	150 0.7×	298 1.6×	184 1.3×	97 0.8×	42 0.4×	17	482
Itsuhiro Takizawa Japan	11	214 1.0×	68 0.4×	46 0.3×	38 0.3×	59 0.6×	26	334
Mia M. Gaudet United States	5	175 0.8×	184 1.0×	141 1.0×	138 1.1×	121 1.3×	7	418
Minnie Ho Canada	6	193 0.9×	185 1.0×	93 0.7×	22 0.2×	32 0.3×	7	319
Silvia Pecchio Italy	8	43 0.2×	58 0.3×	67 0.5×	143 1.2×	105 1.1×	13	306
M. M. de Jong Netherlands	6	119 0.5×	185 1.0×	177 1.3×	91 0.8×	74 0.8×	7	380
Takeshi Namekawa Japan	10	160 0.7×	167 0.9×	19 0.1×	115 1.0×	94 1.0×	18	432

Countries citing papers authored by Emma Sawyer

Since Specialization

Citations

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

Fields of papers citing papers by Emma Sawyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Sawyer

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Sawyer, Emma, et al.. (2025). Allele-specific depletion of GNAQQ209L via siRNA or an rAAV2-shRNA vector induces selective toxicity in GNAQQ209L uveal melanoma cells. PubMed. 33(3). 201020–201020.

2.

Leongamornlert, Daniel, Edward J. Saunders, Tokhir Dadaev, et al.. (2014). Frequent germline deleterious mutations in DNA repair genes in familial prostate cancer cases are associated with advanced disease. British Journal of Cancer. 110(6). 1663–1672. 109 indexed citations

3.

Leongamornlert, Daniel, Nadiya Mahmud, Malgorzata Tymrakiewicz, et al.. (2012). Germline BRCA1 mutations increase prostate cancer risk. British Journal of Cancer. 106(10). 1697–1701. 201 indexed citations

4.

Castro, Elena, David Olmos, Chee Goh, et al.. (2012). BRCA carrier status as an independent prognostic factor associated with earlier biochemical relapse in local prostate cancer.. Journal of Clinical Oncology. 30(15_suppl). 1545–1545. 1 indexed citations

5.

Castro, Elena, Chee Goh, David Olmos, et al.. (2011). Correlation of germ-line BRCA2 mutations with aggressive prostate cancer and outcome.. Journal of Clinical Oncology. 29(15_suppl). 1517–1517. 2 indexed citations

6.

Rahman, Aneela, Sarah Stewart‐Brown, D R Harriss, et al.. (2010). Hand pattern indicates prostate cancer risk. British Journal of Cancer. 104(1). 175–177. 65 indexed citations

7.

Lophatananon, Artitaya, Douglas Easton, Richard Pocock, et al.. (2010). Dietary fat and early-onset prostate cancer risk. British Journal Of Nutrition. 103(9). 1375–1380. 32 indexed citations

8.

Sawyer, Emma, R.T.D. Oliver, Jeffrey Tobias, & D. F. BADENOCH. (1999). A lesson in the management of testicular cancer in a patient with a solitary testis. Postgraduate Medical Journal. 75(886). 481–483. 6 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.

Explore authors with similar magnitude of impact