Michael Lang

880 total citations
51 papers, 487 citations indexed

About

Michael Lang is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michael Lang has authored 51 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Pathology and Forensic Medicine and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michael Lang's work include Multiple Sclerosis Research Studies (15 papers), Sphingolipid Metabolism and Signaling (7 papers) and Mobile Health and mHealth Applications (7 papers). Michael Lang is often cited by papers focused on Multiple Sclerosis Research Studies (15 papers), Sphingolipid Metabolism and Signaling (7 papers) and Mobile Health and mHealth Applications (7 papers). Michael Lang collaborates with scholars based in Germany, Canada and United States. Michael Lang's co-authors include Yochanan Friedman, Ma’n H. Zawati, Bartha Maria Knoppers, Gerald Burke, Wilfried Lang, Herbert Schreiber, M. Schramm, Luisa Klotz, Alexander Bernier and Tjalf Ziemssen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurology and FEBS Letters.

In The Last Decade

Michael Lang

48 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Lang Germany 13 158 157 62 60 56 51 487
Jia‐Shu Chen United States 18 223 1.4× 65 0.4× 83 1.3× 135 2.3× 59 1.1× 72 840
Erin Butler United States 5 310 2.0× 93 0.6× 41 0.7× 58 1.0× 46 0.8× 12 781
Luisa Foco Italy 17 288 1.8× 48 0.3× 42 0.7× 76 1.3× 54 1.0× 36 787
T. Okamura Japan 16 249 1.6× 61 0.4× 24 0.4× 28 0.5× 36 0.6× 109 1.0k
Dongdong Lin China 14 200 1.3× 108 0.7× 30 0.5× 79 1.3× 10 0.2× 43 695
Fahad A. Bashiri Saudi Arabia 12 131 0.8× 31 0.2× 48 0.8× 124 2.1× 50 0.9× 63 552
Jonathan C. P. Roos United Kingdom 16 87 0.6× 151 1.0× 63 1.0× 86 1.4× 11 0.2× 37 637
Alessandro De Grandi Italy 14 316 2.0× 40 0.3× 43 0.7× 103 1.7× 20 0.4× 32 819
Ruchi Patel United States 8 122 0.8× 152 1.0× 51 0.8× 36 0.6× 20 0.4× 21 557
Paolo Gravina Italy 13 250 1.6× 26 0.2× 46 0.7× 31 0.5× 45 0.8× 17 576

Countries citing papers authored by Michael Lang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Lang. A scholar is included among the top collaborators of Michael Lang 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 Michael Lang. Michael Lang 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.
Zawati, Ma’n H. & Michael Lang. (2024). Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility. Journal of Medical Internet Research. 26. e50344–e50344. 1 indexed citations
2.
McGlynn, Katherine A., Jongeun Rhee, Celia Byrne, et al.. (2023). Military occupation and testicular germ cell tumour risk among US Air Force servicemen. Occupational and Environmental Medicine. 80(6). 312–318. 4 indexed citations
3.
Lang, Michael & Ma’n H. Zawati. (2023). Online Therapeutic Portals for Sharing Health Research: Comparative Guidance amid Regulatory Uncertainty. Canadian Journal of Bioethics. 6(2). 66–75.
4.
Ziemssen, Tjalf, Michael Lang, Stephan Schmidt, et al.. (2022). Long-term real-world effectiveness and safety of fingolimod over 5 years in Germany. Journal of Neurology. 269(6). 3276–3285. 15 indexed citations
5.
Lang, Michael & Ma’n H. Zawati. (2022). Returning individual research results in international direct-to-participant genomic research: results from a 31-country study. European Journal of Human Genetics. 30(10). 1132–1137. 3 indexed citations
6.
Ziemssen, Tjalf, Judith Haas, Luisa Klotz, et al.. (2021). Descriptive Analysis of Real-World Data on Fingolimod Long-Term Treatment of Young Adult RRMS Patients. Frontiers in Neurology. 12. 637107–637107. 4 indexed citations
7.
Lang, Michael, Alexander Bernier, & Bartha Maria Knoppers. (2021). Artificial Intelligence in Cardiovascular Imaging: “Unexplainable” Legal and Ethical Challenges?. Canadian Journal of Cardiology. 38(2). 225–233. 28 indexed citations
8.
Lang, Michael, Bartha Maria Knoppers, & Ma’n H. Zawati. (2020). International mHealth Research: Old Tools and New Challenges. The Journal of Law Medicine & Ethics. 48(S1). 178–186. 9 indexed citations
9.
Boccia, Stefania, Roberta Pastorino, Walter Ricciardi, et al.. (2019). How to Integrate Personalized Medicine into Prevention? Recommendations from the Personalized Prevention of Chronic Diseases (PRECeDI) Consortium. Public Health Genomics. 22(5-6). 208–214. 19 indexed citations
10.
Ziemssen, Tjalf, Michael Lang, Björn Tackenberg, et al.. (2019). PANGAEA: Effectiveness and safety of fingolimod over 5 years in daily clinical practice (P3.2-086). Neurology. 92(15_supplement). 1 indexed citations
11.
Lang, Michael, et al.. (2019). PatientConcept App: Key Characteristics, Implementation, and its Potential Benefit. Neurology and Therapy. 8(1). 147–154. 10 indexed citations
12.
Ziemssen, Tjalf, Michael Lang, Björn Tackenberg, et al.. (2019). Long-term real-world evidence for sustained clinical benefits of fingolimod following switch from natalizumab. Multiple Sclerosis and Related Disorders. 39. 101893–101893. 8 indexed citations
13.
Rothstein, Mark A., Ma’n H. Zawati, Laura M. Beskow, et al.. (2019). Legal and Ethical Challenges of International Direct-to-Participant Genomic Research: Conclusions and Recommendations. The Journal of Law Medicine & Ethics. 47(4). 705–731. 5 indexed citations
14.
15.
Penner, Iris‐Katharina, et al.. (2015). German Validation of the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) (P5.196). Neurology. 84(14_supplement). 3 indexed citations
16.
Trenkwalder, Claudia, Monica Canelo, Michael Lang, et al.. (2015). Management of augmentation of restless legs syndrome with rotigotine: a 1-year observational study. Sleep Medicine. 30. 257–265. 18 indexed citations
17.
Perrin, Christophe, et al.. (2014). Acidose lactique chez un nourrisson au cours d’une crise d’asthme grave. Archives de Pédiatrie. 21(10). 1120–1122. 2 indexed citations
18.
Schreiber, Herbert, Michael Lang, Tatjana Fischer, et al.. (2013). Longitudinal Observation of Attentional and Fronto-Temporal Cognitive Functions in Relapsing-Remitting Multiple Sclerosis (RRMS) – 6 Years Follow-Up (S10.003). Neurology. 80(7_supplement). 1 indexed citations
19.
Lang, Michael, Peter Flachenecker, W. Hofmann, et al.. (2011). Fatigue, cognition and personality in patients with relapsing-remitting multiple sclerosis (RRMS) - A longitudinal study. Multiple Sclerosis Journal. 17(10). 2 indexed citations
20.
Parkinson, B. W., et al.. (1997). Vision-Based GNC Design for the LEDA Mission. 381. 411. 4 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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