Alexander Michel

1.8k total citations · 1 hit paper
29 papers, 1.2k citations indexed

About

Alexander Michel is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Pharmacology. According to data from OpenAlex, Alexander Michel has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 4 papers in Pharmacology. Recurrent topics in Alexander Michel's work include Heart Failure Treatment and Management (13 papers), Potassium and Related Disorders (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Alexander Michel is often cited by papers focused on Heart Failure Treatment and Management (13 papers), Potassium and Related Disorders (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Alexander Michel collaborates with scholars based in Germany, Switzerland and United States. Alexander Michel's co-authors include Muthiah Vaduganathan, Sanjiv J. Shah, Michele Senni, Mihai Gheorghiade, Javed Butler, Heiner Raspe, Luis A. Garcı́a Rodrı́guez, Thomas Kohlmann, Mar Martín‐Pérez and W. Bolten and has published in prestigious journals such as Journal of the American College of Cardiology, Diabetes Care and Scientific Reports.

In The Last Decade

Alexander Michel

29 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Electronic health records to facilitate clinical research

2016 396 citations Martín Cowie, Juuso Blomster et al. Clinical Research in Cardiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Michel Germany	12	425	137	129	129	115	29	1.2k
Abhinav Sharma Canada	26	1.1k 2.6×	211 1.5×	94 0.7×	52 0.4×	30 0.3×	128	2.1k
Abdissa Negassa United States	30	985 2.3×	563 4.1×	98 0.8×	177 1.4×	16 0.1×	88	3.2k
Hans Öhlin Sweden	21	641 1.5×	106 0.8×	74 0.6×	74 0.6×	18 0.2×	60	1.5k
Katarina Eeg‐Olofsson Sweden	29	581 1.4×	64 0.5×	35 0.3×	144 1.1×	26 0.2×	85	2.5k
Bong‐Yun Cha South Korea	24	232 0.5×	73 0.5×	44 0.3×	104 0.8×	39 0.3×	51	1.7k
Sam Philip United Kingdom	36	307 0.7×	73 0.5×	36 0.3×	247 1.9×	126 1.1×	77	4.2k
Pierluigi Tricoci United States	27	1.6k 3.8×	117 0.9×	30 0.2×	378 2.9×	34 0.3×	107	2.7k
Nidhi Rohatgi United States	23	120 0.3×	114 0.8×	41 0.3×	41 0.3×	23 0.2×	49	1.7k
Pauline Heus Netherlands	17	364 0.9×	179 1.3×	26 0.2×	210 1.6×	74 0.6×	41	1.7k
Nathalie Conrad United Kingdom	17	1.3k 3.1×	203 1.5×	210 1.6×	111 0.9×	126 1.1×	34	2.6k

Countries citing papers authored by Alexander Michel

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Michel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Michel

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

All Works

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20 of 20 papers shown

Okami, Suguru, Christoph Ohlmeier, Makiko Takeichi, et al.. (2024). Vericiguat Use in Patients with Heart Failure in Real-World Settings during the First Year after the Drug Authorization in Japan. Journal of Clinical Medicine. 13(11). 3222–3222. 4 indexed citations

Butler, Oisín, Zahra Raisi‐Estabragh, Yuchi Han, et al.. (2024). Epidemiology of myocarditis following COVID-19 or influenza and use of diagnostic assessments. Open Heart. 11(2). e002947–e002947. 1 indexed citations

Endrikat, Jan, et al.. (2024). Does the risk of hypersensitivity reactions to iopromide differ by sex, race, or across regions/countries? An analysis of 152 233 patients from 4 observational studies and the company’s pharmacovigilance database. British Journal of Radiology. 97(1164). 2004–2014. 1 indexed citations

Ohlmeier, Christoph, Thomas Evers, Stefan Herrmann, et al.. (2024). Real-world characteristics and use patterns of patients treated with vericiguat: A nationwide longitudinal cohort study in Germany. European Journal of Clinical Pharmacology. 80(6). 931–940. 10 indexed citations

Okami, Suguru, M. Cecilia Aguila, Zuzana Mohrová, et al.. (2024). Initiation and continuation of pharmacological therapies in patients hospitalized for heart failure in Japan. Scientific Reports. 14(1). 2 indexed citations

Martín‐Pérez, Mar, Alexander Michel, Mark Ma, & Luis A. Garcı́a Rodrı́guez. (2019). Development of hypotension in patients newly diagnosed with heart failure in UK general practice: retrospective cohort and nested case–control analyses. BMJ Open. 9(7). e028750–e028750. 7 indexed citations

Michel, Alexander, Antonio González‐Pérez, María Eugenia Sáez, & Luis A. Garcı́a Rodrı́guez. (2019). Risk of bleeding events among patients with systemic sclerosis and the general population in the UK: a large population-based cohort study. Clinical Rheumatology. 39(1). 19–26. 4 indexed citations

Riedel, Oliver, Christoph Ohlmeier, Albrecht Elsässer, et al.. (2018). The contribution of comorbidities to mortality in hospitalized patients with heart failure. Clinical Research in Cardiology. 107(6). 487–497. 25 indexed citations

Michel, Alexander, Gabriel Chodick, Yingkai Cheng, et al.. (2018). Hypothyroidism in Young Children Following Exposure to Iodinated Contrast Media: An Observational Study and a Review of the Literature.. PubMed. 16(2). 256–265. 4 indexed citations

10.

Vaduganathan, Muthiah, Ravi B. Patel, Alexander Michel, et al.. (2017). Mode of Death in Heart Failure With Preserved Ejection Fraction. Journal of the American College of Cardiology. 69(5). 556–569. 173 indexed citations

11.

Michel, Alexander, Mar Martín‐Pérez, Ana Ruigómez, & Luis A. Garcı́a Rodrı́guez. (2017). P3238Risk of first ischemic cerebrovascular event in a cohort of incident heart failure patients. European Heart Journal. 38(suppl_1). 1 indexed citations

12.

Martín‐Pérez, Mar, Ana Ruigómez, Alexander Michel, & Luis A. Garcı́a Rodrı́guez. (2016). Incidence and risk factors for atrial fibrillation in patients with newly diagnosed heart failure. Journal of Cardiovascular Medicine. 17(8). 608–615. 9 indexed citations

13.

Cowie, Martín, Juuso Blomster, Lesley H. Curtis, et al.. (2016). Electronic health records to facilitate clinical research. Clinical Research in Cardiology. 106(1). 1–9. 396 indexed citations breakdown →

14.

Michel, Alexander, Mar Martín‐Pérez, Ana Ruigómez, & Luis A. Garcı́a Rodrı́guez. (2016). Incidence and risk factors for severe renal impairment after first diagnosis of heart failure: A cohort and nested case–control study in UK general practice. International Journal of Cardiology. 207. 252–257. 6 indexed citations

15.

Ruigómez, Ana, Alexander Michel, Mar Martín‐Pérez, & Luis A. Garcı́a Rodrı́guez. (2016). Heart failure hospitalization: An important prognostic factor for heart failure re-admission and mortality. International Journal of Cardiology. 220. 855–861. 28 indexed citations

16.

Martín‐Pérez, Mar, Ana Ruigómez, Alexander Michel, & Luis A. Garcı́a Rodrı́guez. (2016). Impact of hyperkalaemia definition on incidence assessment: implications for epidemiological research based on a large cohort study in newly diagnosed heart failure patients in primary care. BMC Family Practice. 17(1). 51–51. 6 indexed citations

17.

Michel, Alexander, Mar Martín‐Pérez, Ana Ruigómez, & Luis A. Garcı́a Rodrı́guez. (2015). Risk Factors for Hyperkalaemia in a Cohort of Patients with Newly Diagnosed Heart Failure: A Nested Case–Control Study in UK General Practice. European Journal of Heart Failure. 17(2). 205–213. 49 indexed citations

18.

Vaduganathan, Muthiah, Alexander Michel, Kathryn T. Hall, et al.. (2015). Spectrum of Epidemiological and Clinical Findings in Patients with Heart Failure with Preserved Ejection Fraction Stratified by Study Design: A Systematic Review. European Journal of Heart Failure. 18(1). 54–65. 71 indexed citations

19.

Prazuck, Thiérry, et al.. (1998). [Emergency consultations of foreign tourists in Paris in the month of August. 5 years of prospective surveillance (1992-1996)].. PubMed. 91(5 Pt 1-2). 461–3. 3 indexed citations

20.

Michel, Alexander, Thomas Kohlmann, & Heiner Raspe. (1997). The Association Between Clinical Findings on Physical Examination and Self-Reported Severity in Back Pain. Spine. 22(3). 296–303. 90 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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