Stephen Nyangoma

744 total citations
21 papers, 532 citations indexed

About

Stephen Nyangoma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stephen Nyangoma has authored 21 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stephen Nyangoma's work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Retinal Diseases and Treatments (3 papers). Stephen Nyangoma is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Retinal Diseases and Treatments (3 papers). Stephen Nyangoma collaborates with scholars based in United Kingdom, Netherlands and United States. Stephen Nyangoma's co-authors include Helen C. Looker, Robert S. Lindsay, Sam Philip, John McKnight, John A. Olson, Helen M. Colhoun, Graham Leese, Sarah H. Wild, A. Sewall and Alexander Elbert and has published in prestigious journals such as Blood, Diabetologia and Journal of Chromatography A.

In The Last Decade

Stephen Nyangoma

15 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Nyangoma United Kingdom 8 160 151 149 100 66 21 532
Mona Khurana United States 10 52 0.3× 32 0.2× 25 0.2× 78 0.8× 18 0.3× 27 524
Jiexun Wang Singapore 14 29 0.2× 19 0.1× 30 0.2× 63 0.6× 18 0.3× 37 467
Pinfang Huang China 14 15 0.1× 107 0.7× 23 0.2× 55 0.6× 7 0.1× 50 495
Cheryl D. Cropp United States 15 14 0.1× 65 0.4× 13 0.1× 139 1.4× 9 0.1× 29 599
Mustafa Bulut Türkiye 12 6 0.0× 102 0.7× 48 0.3× 55 0.6× 6 0.1× 53 482
Yong Han China 13 16 0.1× 108 0.7× 160 1.1× 58 0.6× 2 0.0× 36 471
Amitabha Bhaumik United States 11 21 0.1× 221 1.5× 99 0.7× 16 0.2× 3 0.0× 47 478
Avinash Jain India 11 15 0.1× 61 0.4× 17 0.1× 92 0.9× 4 0.1× 31 380
Chengnan Guo China 11 60 0.4× 16 0.1× 52 0.3× 57 0.6× 2 0.0× 38 300
Giovanni Battista Di Pierro Italy 18 4 0.0× 547 3.6× 100 0.7× 163 1.6× 11 0.2× 75 1.0k

Countries citing papers authored by Stephen Nyangoma

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Nyangoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Nyangoma

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

All Works

20 of 20 papers shown
1.
2.
Ali, Khalid, Ekow Mensah, Nikesh Parekh, et al.. (2023). 1285 IMPLEMENTATION OF A MEDICINE MANAGEMENT PLAN TO REDUCE MEDICATION-RELATED HARM IN OLDER PEOPLE POST-HOSPITAL DISCHARGE - AN RCT. Age and Ageing. 52(Supplement_1). 1 indexed citations
3.
Ellison, Stephen L. R., et al.. (2023). Optimisation of data acquisition towards continuous cardiac Magnetic Resonance Fingerprinting applications. Physica Medica. 105. 102514–102514.
4.
5.
Parekh, Nikesh, Khalid Ali, Graham Davies, et al.. (2019). Medication-related harm in older adults following hospital discharge: development and validation of a prediction tool. BMJ Quality & Safety. 29(2). 142–153. 38 indexed citations
6.
EVANS, JEFF, David Campbell, Shan Tian, et al.. (2018). IPD2.02 Real-world outcomes in patients with CF treated with ivacaftor: 2016 US and UK CF Registry analyses. Journal of Cystic Fibrosis. 17. S54–S54.
7.
Bessonova, Leona, Nataliya Volkova, Mark Higgins, et al.. (2018). Data from the US and UK cystic fibrosis registries support disease modification by CFTR modulation with ivacaftor. Thorax. 73(8). 731–740. 143 indexed citations
8.
EVANS, JEFF, David Campbell, Shan Tian, et al.. (2018). IPD2.01 Disease progression in patients with CF treated with ivacaftor: analyses of real-world data from the US and UK CF Registries. Journal of Cystic Fibrosis. 17. S53–S53. 4 indexed citations
9.
Looker, Helen C., Stephen Nyangoma, John A. Olson, et al.. (2014). Rates of referable eye disease in the Scottish National Diabetic Retinopathy Screening Programme. British Journal of Ophthalmology. 98(6). 790–795. 61 indexed citations
10.
Looker, Helen C., Stephen Nyangoma, John A. Olson, et al.. (2013). Predicted impact of extending the screening interval for diabetic retinopathy: the Scottish Diabetic Retinopathy Screening programme. Diabetologia. 56(8). 1716–1725. 59 indexed citations
11.
Nyangoma, Stephen, Stuart I. Collins, Douglas G. Altman, Philip E. Johnson, & Lucinda Billingham. (2012). Sample Size Calculations for Designing Clinical Proteomic Profiling Studies Using Mass Spectrometry. Statistical Applications in Genetics and Molecular Biology. 11(3). Article 2–Article 2. 5 indexed citations
12.
Looker, Helen C., Stephen Nyangoma, John A. Olson, et al.. (2012). Diabetic retinopathy at diagnosis of type 2 diabetes in Scotland. Diabetologia. 55(9). 2335–2342. 81 indexed citations
13.
Rathinam, Sridhar, Aiman Alzetani, Jane Starczynski, et al.. (2009). Confounding Effects of Benign Lung Diseases on Non-Small Cell Lung Cancer Serum Biomarker Discovery. Clinical Proteomics. 5(3-4). 148–155. 2 indexed citations
14.
Kapatai, Georgia, Stephen Nyangoma, & Pamela Kearns. (2009). A Study of Aberrant DNA Methylation in Refractory and Relapsed Childhood Acute Lymphoblastic Leukaemia.. Blood. 114(22). 3456–3456. 2 indexed citations
15.
Ferreira, José A. & Stephen Nyangoma. (2008). A multivariate version of the Benjamini–Hochberg method. Journal of Multivariate Analysis. 99(9). 2108–2124. 7 indexed citations
16.
Ward, Douglas G., Stephen Nyangoma, Howard Joy, et al.. (2008). Proteomic profiling of urine for the detection of colon cancer. Proteome Science. 6(1). 19–19. 57 indexed citations
17.
Nyangoma, Stephen, Theo Reijmers, Natalia Govorukhina, et al.. (2007). Multiple Testing Issues in Discriminating Compound-Related Peaks and Chromatograms from High Frequency Noise, Spikes and Solvent-Based Noise in LC - MS Data Sets. Statistical Applications in Genetics and Molecular Biology. 6(1). Article23–Article23.
18.
Govorukhina, Natalia, Theo Reijmers, Stephen Nyangoma, et al.. (2006). Analysis of human serum by liquid chromatography–mass spectrometry: Improved sample preparation and data analysis. Journal of Chromatography A. 1120(1-2). 142–150. 60 indexed citations
19.
Nyangoma, Stephen, Wing K. Fung, & Rick Jansen. (2005). Identifying influential multinomial observations by perturbation. Computational Statistics & Data Analysis. 50(10). 2799–2821. 2 indexed citations
20.
Nyangoma, Stephen, et al.. (2002). Confidence regions for multinomial parameters. Computational Statistics & Data Analysis. 39(3). 329–342. 10 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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