April Went

475 total citations
8 papers, 79 citations indexed

About

April Went is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, April Went has authored 8 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Hepatology and 1 paper in Infectious Diseases. Recurrent topics in April Went's work include Hepatitis C virus research (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). April Went is often cited by papers focused on Hepatitis C virus research (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). April Went collaborates with scholars based in United Kingdom, Denmark and Canada. April Went's co-authors include Scott McDonald, David Goldberg, Stephen T. Barclay, Sharon Hutchinson, Hamish Innes, John Dillon, Andrew Fraser, Peter Hayes, Andrew Bathgate and Kevin G. Pollock and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Gastroenterology and Journal of Epidemiology & Community Health.

In The Last Decade

April Went

8 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
April Went United Kingdom	6	72	72	5	4	2	8	79
H. Nde United States	2	45 0.6×	44 0.6×	4 0.8×			5	52
Laura Telep United States	3	69 1.0×	74 1.0×	3 0.6×	1 0.3×	3 1.5×	10	81
Jordi Llaneras Spain	6	58 0.8×	58 0.8×	12 2.4×		1 0.5×	18	73
Е.А. Strebkova Russia	3	71 1.0×	70 1.0×	13 2.6×		1 0.5×	8	90
Marina Shakh-Nazarova Georgia	2	51 0.7×	40 0.6×	10 2.0×			2	57
Sylvia M. Brakenhoff Netherlands	7	88 1.2×	76 1.1×	3 0.6×	1 0.3×	8 4.0×	15	91
Hasnain Jafferbhoy United Kingdom	3	33 0.5×	33 0.5×	6 1.2×			6	41
Guan Sen Kew Singapore	3	37 0.5×	42 0.6×	5 1.0×	2 0.5×	2 1.0×	5	48
Lamin Bojang Gambia	3	42 0.6×	38 0.5×	4 0.8×		2 1.0×	4	50
Farihah Malik United Kingdom	3	30 0.4×	31 0.4×	6 1.2×			10	36

Countries citing papers authored by April Went

Since Specialization

Citations

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

Fields of papers citing papers by April Went

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of April Went

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

All Works

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8 of 8 papers shown

Ryan, T. J., Jen Bishop, Victoria Ponce Hardy, et al.. (2022). Epidemiology of SARS-CoV-2 during the first three waves in Scotland: a national record linkage study. Journal of Epidemiology & Community Health. 77(1). 1–8. 3 indexed citations

Innes, Hamish, Philip J. Johnson, Scott McDonald, et al.. (2022). Competing Risk Bias in Prognostic Models Predicting Hepatocellular Carcinoma Occurrence: Impact on Clinical Decision-making. SHILAP Revista de lepidopterología. 1(2). 129–136. 3 indexed citations

Innes, Hamish, Scott McDonald, Peter Hayes, et al.. (2022). Comparing Predicted Probability of Hepatocellular Carcinoma in Patients With Cirrhosis With the General Population: An Opportunity to Improve Risk Communication?. The American Journal of Gastroenterology. 117(9). 1454–1461. 5 indexed citations

Innes, Hamish, Peter Jepsen, Scott McDonald, et al.. (2021). Performance of models to predict hepatocellular carcinoma risk among UK patients with cirrhosis and cured HCV infection. JHEP Reports. 3(6). 100384–100384. 17 indexed citations

Innes, Hamish, Scott McDonald, Alan C. Yeung, et al.. (2021). Declining incidence of hepatitis C related hepatocellular carcinoma in the era of interferon‐free therapies: A population‐based cohort study. Liver International. 42(3). 561–574. 9 indexed citations

McDonald, Scott, Stephen T. Barclay, Hamish Innes, et al.. (2021). Uptake of interferon‐free DAA therapy among HCV‐infected decompensated cirrhosis patients and evidence for decreased mortality. Journal of Viral Hepatitis. 28(9). 1246–1255. 7 indexed citations

Pollock, Kevin G., Scott McDonald, Rory Gunson, et al.. (2020). Real‐world utility of HCV core antigen as an alternative to HCV RNA testing: Implications for viral load and genotype. Journal of Viral Hepatitis. 27(10). 996–1002. 8 indexed citations

McDonald, Scott, Kevin G. Pollock, Stephen T. Barclay, et al.. (2019). Real‐world impact following initiation of interferon‐free hepatitis C regimens on liver‐related outcomes and all‐cause mortality among patients with compensated cirrhosis. Journal of Viral Hepatitis. 27(3). 270–280. 27 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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