E. Gower

4.0k total citations · 2 hit papers
5 papers, 2.0k citations indexed

About

E. Gower is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, E. Gower has authored 5 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hepatology, 3 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in E. Gower's work include Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). E. Gower is often cited by papers focused on Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). E. Gower collaborates with scholars based in Switzerland, United Kingdom and United States. E. Gower's co-authors include Homie Razavi, Chris Estes, Sarah Blach, Kathryn Razavi‐Shearer, Philippa Easterbrook, Bethan McDonald, Peter Vickerman, Lucy Platt, Catherine R. McGowan and Keith Sabin and has published in prestigious journals such as Journal of Hepatology, The Lancet Infectious Diseases and European Journal of Gastroenterology & Hepatology.

In The Last Decade

E. Gower

5 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global epidemiology and genotype distribution of the hepatitis C virus infection

2014 1.4k citations E. Gower, Chris Estes et al. Journal of Hepatology profile →
Prevalence and burden of HCV co-infection in people living with HIV: a global systematic review and meta-analysis

2016 485 citations Lucy Platt, Philippa Easterbrook et al. The Lancet Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Gower Switzerland	5	1.8k	1.7k	444	79	71	5	2.0k
Joseph Sasadeusz Australia	16	1.2k 0.7×	1.2k 0.7×	545 1.2×	105 1.3×	71 1.0×	38	1.5k
Giulia Morsica Italy	18	1.1k 0.6×	1.0k 0.6×	241 0.5×	86 1.1×	35 0.5×	73	1.3k
Nathalie Adda United States	18	2.0k 1.1×	1.8k 1.1×	685 1.5×	123 1.6×	62 0.9×	55	2.3k
Sarah Maylin France	23	1.9k 1.1×	2.0k 1.2×	321 0.7×	113 1.4×	27 0.4×	76	2.2k
Mark Danta Australia	20	1.3k 0.7×	1.2k 0.7×	460 1.0×	100 1.3×	92 1.3×	66	1.8k
Sarah Blach Switzerland	15	2.1k 1.2×	2.0k 1.2×	338 0.8×	31 0.4×	24 0.3×	43	2.3k
Wolf Peter Hofmann Germany	24	1.8k 1.0×	1.7k 1.0×	268 0.6×	45 0.6×	29 0.4×	72	2.3k
Norbert Bräu United States	24	1.9k 1.1×	1.6k 1.0×	617 1.4×	103 1.3×	147 2.1×	68	2.2k
José Vicente Fernández-Montero Spain	21	749 0.4×	712 0.4×	441 1.0×	159 2.0×	97 1.4×	59	1.1k
Maria Beumont United States	22	1.1k 0.6×	1.2k 0.7×	775 1.7×	270 3.4×	45 0.6×	55	1.8k

Countries citing papers authored by E. Gower

Since Specialization

Citations

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

Fields of papers citing papers by E. Gower

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Gower

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

All Works

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5 of 5 papers shown

1.

Platt, Lucy, Clare E. French, Catherine R. McGowan, et al.. (2019). Prevalence and burden of HBV co‐infection among people living with HIV: A global systematic review and meta‐analysis. Journal of Viral Hepatitis. 27(3). 294–315. 98 indexed citations

2.

Platt, Lucy, Philippa Easterbrook, E. Gower, et al.. (2016). Prevalence and burden of HCV co-infection in people living with HIV: a global systematic review and meta-analysis. The Lancet Infectious Diseases. 16(7). 797–808. 485 indexed citations breakdown →

3.

Gower, E., Chris Estes, Sarah Blach, Kathryn Razavi‐Shearer, & Homie Razavi. (2014). Global epidemiology and genotype distribution of the hepatitis C virus infection. Journal of Hepatology. 61(1). S45–S57. 1402 indexed citations breakdown →

4.

Flisiak, Robert, et al.. (2014). Forecasting the disease burden of chronic hepatitis C virus in Poland. European Journal of Gastroenterology & Hepatology. 27(1). 70–76. 20 indexed citations

5.

Razavi, Homie, et al.. (2013). 51 HCV TREATMENT RATE IN SELECT EUROPEAN COUNTRIES IN 2004–2010. Journal of Hepatology. 58. S22–S23. 11 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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