Jennifer Eriksson

1.5k total citations · 1 hit paper
34 papers, 1.0k citations indexed

About

Jennifer Eriksson is a scholar working on Pathology and Forensic Medicine, Oncology and Economics and Econometrics. According to data from OpenAlex, Jennifer Eriksson has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pathology and Forensic Medicine, 9 papers in Oncology and 9 papers in Economics and Econometrics. Recurrent topics in Jennifer Eriksson's work include Multiple Sclerosis Research Studies (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Lung Cancer Treatments and Mutations (6 papers). Jennifer Eriksson is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Lung Cancer Treatments and Mutations (6 papers). Jennifer Eriksson collaborates with scholars based in United Kingdom, United States and Germany. Jennifer Eriksson's co-authors include Jenny Berg, Gisela Kobelt, Mia Gannedahl, Alan J. Thompson, Daniela Capsa, Henrik W. Finnern, Glenn Phillips, Gerarda J.M. Herder, J.F. Lester and Juliane Lungershausen and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Jennifer Eriksson

34 papers receiving 1.0k citations

Hit Papers

New insights into the burden and costs of multiple sclero... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Eriksson United Kingdom 14 628 218 194 156 136 34 1.0k
Sujata P. Sarda United States 17 246 0.4× 75 0.3× 49 0.3× 313 2.0× 104 0.8× 65 1.0k
Virginia Devonshire Canada 14 1.0k 1.6× 262 1.2× 59 0.3× 46 0.3× 311 2.3× 35 1.2k
Yinshan Zhao Canada 12 519 0.8× 76 0.3× 70 0.4× 23 0.1× 160 1.2× 36 841
C. H. Darby United States 9 367 0.6× 104 0.5× 30 0.2× 124 0.8× 372 2.7× 21 962
Koen Van Eygen Belgium 15 164 0.3× 210 1.0× 67 0.3× 132 0.8× 24 0.2× 51 1.0k
Joris Diels Belgium 19 107 0.2× 218 1.0× 90 0.5× 224 1.4× 33 0.2× 113 1.1k
Helena Harder United Kingdom 17 135 0.2× 244 1.1× 25 0.1× 312 2.0× 175 1.3× 26 899
John Mathews United Kingdom 23 445 0.7× 83 0.4× 27 0.1× 133 0.9× 43 0.3× 96 1.8k
I‐Wen Pan United States 20 89 0.1× 222 1.0× 104 0.5× 204 1.3× 148 1.1× 62 1.1k
Richard F. Dunne United States 19 142 0.2× 733 3.4× 34 0.2× 225 1.4× 24 0.2× 81 1.7k

Countries citing papers authored by Jennifer Eriksson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Eriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Eriksson

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Eriksson. A scholar is included among the top collaborators of Jennifer Eriksson 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 Jennifer Eriksson. Jennifer Eriksson 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
2.
Hünger, Matthias, et al.. (2020). Mapping the Kansas City Cardiomyopathy Questionnaire (KCCQ) Onto EQ-5D-3L in Heart Failure Patients: Results for the Japanese and UK Value Sets. MDM Policy & Practice. 5(2). 3444620118–3444620118. 3 indexed citations
3.
Eriksson, Jennifer, et al.. (2020). Stated Preferences For Relapsed or Refractory Mantle Cell Lymphoma Treatments in Sweden and Germany. Future Oncology. 16(13). 859–868. 6 indexed citations
4.
Eriksson, Jennifer, et al.. (2020). Experience of mismatch repair/microsatellite instability (MMR/MSI) testing among patients with advanced/metastatic colorectal cancer in the US. Current Medical Research and Opinion. 36(8). 1355–1361. 4 indexed citations
5.
Hanke, Georg, David M. Fleet, John W. Barry, et al.. (2020). A European Threshold Value and Assessment Method for Macro Litter on Coastlines.. IOC of UNESCO (Intergovernmental Oceanographic Commission). 15 indexed citations
6.
Eriksson, Jennifer, et al.. (2019). Mismatch Repair/Microsatellite Instability Testing Practices among US Physicians Treating Patients with Advanced/Metastatic Colorectal Cancer. Journal of Clinical Medicine. 8(4). 558–558. 19 indexed citations
7.
Eriksson, Jennifer, et al.. (2019). Cost and utility in immunocompromised subjects who developed herpes zoster during the randomized V212 inactivated varicella-zoster vaccine (ZVIN) trial. Expert Review of Pharmacoeconomics & Outcomes Research. 20(6). 613–621. 1 indexed citations
8.
Eriksson, Jennifer, Gisela Kobelt, Mia Gannedahl, & Jenny Berg. (2018). Association between Disability, Cognition, Fatigue, EQ-5D-3L Domains, and Utilities Estimated with Different Western European Value Sets in Patients with Multiple Sclerosis. Value in Health. 22(2). 231–238. 18 indexed citations
9.
Kobelt, Gisela, Jennifer Eriksson, Glenn Phillips, & Jenny Berg. (2017). The burden of multiple sclerosis 2015: Methods of data collection, assessment and analysis of costs, quality of life and symptoms. Multiple Sclerosis Journal. 23(2_suppl). 4–16. 59 indexed citations
11.
Brundin, Lou, et al.. (2017). New insights into the burden and costs of multiple sclerosis in Europe: Results for Sweden. Multiple Sclerosis Journal. 23(2_suppl). 179–191. 37 indexed citations
12.
Oreja‐Guevara, Celia, et al.. (2017). New insights into the burden and costs of multiple sclerosis in Europe: Results for Spain. Multiple Sclerosis Journal. 23(2_suppl). 166–178. 33 indexed citations
13.
Boyко, Alexey, Gisela Kobelt, Jenny Berg, et al.. (2017). New insights into the burden and costs of multiple sclerosis in Europe: Results for Russia. Multiple Sclerosis Journal. 23(2_suppl). 155–165. 22 indexed citations
16.
Alperin, Peter, S. А. Shalnova, S. А. Boytsov, et al.. (2014). Simulating the Impact of Improved Cardiovascular Risk Interventions on Clinical and Economic Outcomes in Russia. PLoS ONE. 9(8). e103280–e103280. 12 indexed citations
17.
Chouaïd, C., Jason Agulnik, Erdem Göker, et al.. (2013). Health-Related Quality of Life and Utility in Patients with Advanced Non–Small-Cell Lung Cancer: A Prospective Cross-Sectional Patient Survey in a Real-World Setting. Journal of Thoracic Oncology. 8(8). 997–1003. 115 indexed citations
18.
Chouaïd, C., Jason Agulnik, Gerarda J.M. Herder, et al.. (2012). HEALTH-RELATED QUALITY OF LIFE IN ADVANCED NON-SMALL CELL LUNG CANCER (NSCLC) PATIENTS. Value in Health. 15(4). 1 indexed citations
20.
Lindgren, Peter, Jennifer Eriksson, Martin Buxton, et al.. (2009). Abstract 1349: The Economic Consequences of Non-Adherence to Lipid-Lowering Therapy: Results From the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT). Circulation. 120. 1 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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