Lena Schmidt

1.2k total citations
29 papers, 380 citations indexed

About

Lena Schmidt is a scholar working on Molecular Biology, Clinical Psychology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Lena Schmidt has authored 29 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Clinical Psychology and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Lena Schmidt's work include Biomedical Text Mining and Ontologies (8 papers), Suicide and Self-Harm Studies (7 papers) and COVID-19 and Mental Health (7 papers). Lena Schmidt is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Suicide and Self-Harm Studies (7 papers) and COVID-19 and Mental Health (7 papers). Lena Schmidt collaborates with scholars based in United Kingdom, United States and Canada. Lena Schmidt's co-authors include Julian P. T. Higgins, Luke A. McGuinness, Babatunde Kazeem Olorisade, James Thomas, David Gunnell, Emily Eyles, Roger T. Webb, Duleeka Knipe, Ann John and Sebastian Brandner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cochrane Database of Systematic Reviews and The British Journal of Psychiatry.

In The Last Decade

Lena Schmidt

27 papers receiving 373 citations

Peers

Lena Schmidt
Ellen M. Werner United States
Linda Bresolin United States
Susan Storey United States
Rick A. Vreman Netherlands
Lena Schmidt
Citations per year, relative to Lena Schmidt Lena Schmidt (= 1×) peers Rocío Rodriguez López

Countries citing papers authored by Lena Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Lena Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Lena Schmidt. A scholar is included among the top collaborators of Lena Schmidt 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 Lena Schmidt. Lena Schmidt 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.
Campbell, Fiona, Anthea Sutton, Danielle Pollock, et al.. (2025). Rapid reviews methods series: guidance on rapid scoping, mapping and evidence and gap map (‘Big Picture Reviews’). BMJ evidence-based medicine. 30(4). bmjebm–2023. 2 indexed citations
2.
Schmidt, Lena, et al.. (2023). Automated data analysis of unstructured grey literature in health research: A mapping review. Research Synthesis Methods. 15(2). 178–197. 1 indexed citations
3.
Schmidt, Lena, Mark Sinyor, Roger T. Webb, et al.. (2023). A narrative review of recent tools and innovations toward automating living systematic reviews and evidence syntheses. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 181. 65–75. 14 indexed citations
4.
Tripodi, Ignacio J., Lena Schmidt, Brian E. Howard, Deepak Mav, & Ruchir Shah. (2023). A Tissue-Specific and Toxicology-Focused Knowledge Graph. Information. 14(2). 91–91. 1 indexed citations
5.
Knipe, Duleeka, Ann John, Prianka Padmanathan, et al.. (2022). Suicide and self-harm in low- and middle- income countries during the COVID-19 pandemic: A systematic review. SHILAP Revista de lepidopterología. 2(6). e0000282–e0000282. 32 indexed citations
6.
Webb, Roger T., Ann John, Duleeka Knipe, et al.. (2022). Has the COVID-19 pandemic influenced suicide rates differentially according to socioeconomic indices and ethnicity? More evidence is needed globally. Epidemiology and Psychiatric Sciences. 31. e72–e72. 12 indexed citations
7.
Steeg, Sarah, Ann John, David Gunnell, et al.. (2022). The impact of the COVID-19 pandemic on presentations to health services following self-harm: systematic review. The British Journal of Psychiatry. 221(4). 603–612. 26 indexed citations
8.
McAleenan, Alexandra, Hayley E Jones, Ashleigh Kernohan, et al.. (2022). Diagnostic test accuracy and cost-effectiveness of tests for codeletion of chromosomal arms 1p and 19q in people with glioma. Cochrane Database of Systematic Reviews. 2022(3). CD013387–CD013387. 15 indexed citations
9.
Brandner, Sebastian, Alexandra McAleenan, Hayley E Jones, et al.. (2021). Diagnostic accuracy of 1p/19q codeletion tests in oligodendroglioma: A comprehensive meta‐analysis based on a Cochrane systematic review. Neuropathology and Applied Neurobiology. 48(4). e12790–e12790. 18 indexed citations
10.
Brandner, Sebastian, Alexandra McAleenan, Claire Kelly, et al.. (2021). MGMTpromoter methylation testing to predict overall survival in people with glioblastoma treated with temozolomide: a comprehensive meta-analysis based on a Cochrane Systematic Review. Neuro-Oncology. 23(9). 1457–1469. 39 indexed citations
11.
Knipe, Duleeka, Ann John, Prianka Padmanathan, et al.. (2021). Suicide and self-harm in low- and middle- income countries during the COVID-19 pandemic: A systematic review. medRxiv. 8 indexed citations
12.
Eyles, Emily, Paul Moran, Chukwudi Okolie, et al.. (2021). Systematic review of the impact of the COVID-19 pandemic on suicidal behaviour amongst health and social care workers across the world. Journal of Affective Disorders Reports. 6. 100271–100271. 15 indexed citations
13.
Schmidt, Lena, Babatunde Kazeem Olorisade, Luke A. McGuinness, James Thomas, & Julian P. T. Higgins. (2021). Data extraction methods for systematic review (semi)automation: A living systematic review. F1000Research. 10. 401–401. 56 indexed citations
14.
Schmidt, Lena, Babatunde Kazeem Olorisade, Luke A. McGuinness, & Julian P. T. Higgins. (2020). Data extraction methods for systematic review (semi)automation: A living review protocol. F1000Research. 9. 210–210. 8 indexed citations
15.
Schmidt, Lena, Julie Weeds, & Julian P. T. Higgins. (2020). Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. 83–94. 12 indexed citations
16.
Schmidt, Lena, Juleen Lam, Brian E. Howard, et al.. (2020). Risk and Protective Factors in the COVID-19 Pandemic: A Rapid Evidence Map. Frontiers in Public Health. 8. 582205–582205. 18 indexed citations
17.
Schmidt, Lena, Babatunde Kazeem Olorisade, Luke A. McGuinness, James Thomas, & Julian P. T. Higgins. (2020). Data extraction methods for systematic review (semi)automation: A living review protocol. F1000Research. 9. 210–210. 16 indexed citations
18.
McGuinness, Luke A. & Lena Schmidt. (2020). mcguinlu/COVID_suicide_living: Initial Release. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
19.
McGuinness, Luke A. & Lena Schmidt. (2020). medrxivr: Accessing and searching medRxiv and bioRxiv preprint data in R. The Journal of Open Source Software. 5(54). 2651–2651. 24 indexed citations
20.
Jayaram, Mahesh, Clive E Adams, Alan Montgomery, et al.. (2019). Day of the week to tweet: a randomised controlled trial. BMJ Open. 9(4). e025380–e025380. 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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