Fridolin Steinbeis

7.4k total citations · 1 hit paper
12 papers, 396 citations indexed

About

Fridolin Steinbeis is a scholar working on Neurology, Infectious Diseases and General Health Professions. According to data from OpenAlex, Fridolin Steinbeis has authored 12 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Infectious Diseases and 3 papers in General Health Professions. Recurrent topics in Fridolin Steinbeis's work include Long-Term Effects of COVID-19 (5 papers), Global Health Care Issues (3 papers) and COVID-19 Clinical Research Studies (3 papers). Fridolin Steinbeis is often cited by papers focused on Long-Term Effects of COVID-19 (5 papers), Global Health Care Issues (3 papers) and COVID-19 Clinical Research Studies (3 papers). Fridolin Steinbeis collaborates with scholars based in Germany, Switzerland and United Kingdom. Fridolin Steinbeis's co-authors include Peter von Philipsborn, Peter Tinnemann, Thomas Zöller, Friedemann Paul, Lil Meyer‐Arndt, Helma Freitag, Frank Konietschke, Leif G. Hanitsch, Kirsten Wittke and Joachim Spranger and has published in prestigious journals such as The Lancet, Nature Communications and Cell Reports.

In The Last Decade

Fridolin Steinbeis

11 papers receiving 387 citations

Hit Papers

align trajectories

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.

A prospective observational study of post-COVID-19 chronic fatigue syndrome following the first pandemic wave in Germany and biomarkers associated with symptom severity

2022 169 citations Claudia Kedor, Helma Freitag et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fridolin Steinbeis Germany	8	184	93	85	59	52	12	396
Ramazan Azim Okyay Türkiye	11	160 0.9×	62 0.7×	181 2.1×	108 1.8×	44 0.8×	38	618
Bianca Klee Germany	8	255 1.4×	34 0.4×	208 2.4×	92 1.6×	13 0.3×	18	492
Deborah Lehman United States	11	54 0.3×	217 2.3×	72 0.8×	34 0.6×	42 0.8×	30	503
Dacre Knight United States	10	98 0.5×	51 0.5×	44 0.5×	60 1.0×	54 1.0×	25	285
S.K. Jakaria Been Sayeed Bangladesh	7	118 0.6×	28 0.3×	113 1.3×	75 1.3×	19 0.4×	19	298
Bjarni á Steig Faroe Islands	9	290 1.6×	61 0.7×	200 2.4×	147 2.5×	13 0.3×	23	470
Marnar Fríðheim Kristiansen Faroe Islands	11	294 1.6×	59 0.6×	249 2.9×	155 2.6×	11 0.2×	19	479
Nhu Ngoc Nguyen France	10	120 0.7×	21 0.2×	149 1.8×	60 1.0×	38 0.7×	15	302
Suman Siddamreddy United States	9	189 1.0×	29 0.3×	126 1.5×	98 1.7×	20 0.4×	23	331
Bala Munipalli United States	9	105 0.6×	43 0.5×	33 0.4×	61 1.0×	47 0.9×	17	229

Countries citing papers authored by Fridolin Steinbeis

Since Specialization

Citations

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

Fields of papers citing papers by Fridolin Steinbeis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fridolin Steinbeis

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

All Works

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12 of 12 papers shown

Steinbeis, Fridolin, Claudia Kedor, Charlotte Thibeault, et al.. (2024). A new phenotype of patients with post-COVID-19 condition is characterised by a pattern of complex ventilatory dysfunction, neuromuscular disturbance and fatigue symptoms. ERJ Open Research. 10(5). 1027–2023. 1 indexed citations

Thibeault, Charlotte, Kanika Vanshylla, Veronica Di Cristanziano, et al.. (2023). Short- and long-term T cell and antibody responses following dexamethasone treatment in COVID-19. JCI Insight. 8(8). 2 indexed citations

Steinbeis, Fridolin, et al.. (2023). Half-Dose versus Single-Dose Gadobutrol for Extracellular Volume Measurements in Cardiac Magnetic Resonance. Journal of Cardiovascular Development and Disease. 10(8). 316–316.

Kedor, Claudia, Helma Freitag, Lil Meyer‐Arndt, et al.. (2022). A prospective observational study of post-COVID-19 chronic fatigue syndrome following the first pandemic wave in Germany and biomarkers associated with symptom severity. Nature Communications. 13(1). 5104–5104. 169 indexed citations breakdown →

Steinbeis, Fridolin, Cian M. Scannell, Jennifer Erley, et al.. (2022). Brief Research Report: Quantitative Analysis of Potential Coronary Microvascular Disease in Suspected Long-COVID Syndrome. Frontiers in Cardiovascular Medicine. 9. 877416–877416. 7 indexed citations

Steinbeis, Fridolin, Charlotte Thibeault, Felix Doellinger, et al.. (2021). Severity of respiratory failure and computed chest tomography in acute COVID-19 correlates with pulmonary function and respiratory symptoms after infection with SARS-CoV-2: An observational longitudinal study over 12 months. Respiratory Medicine. 191. 106709–106709. 60 indexed citations

Johannssen, Timo, Konstantin Neumann, Fridolin Steinbeis, et al.. (2019). The C-type Lectin Receptor CLEC12A Recognizes Plasmodial Hemozoin and Contributes to Cerebral Malaria Development. Cell Reports. 28(1). 30–38.e5. 37 indexed citations

Malik, Ankita, et al.. (2019). Immunological Evaluation of Synthetic Glycosylphosphatidylinositol Glycoconjugates as Vaccine Candidates against Malaria. ACS Chemical Biology. 15(1). 171–178. 11 indexed citations

Steinbeis, Fridolin, Dzintars Gotham, Peter von Philipsborn, & Jan M Stratil. (2019). Quantifying changes in global health inequality: the Gini and Slope Inequality Indices applied to the Global Burden of Disease data, 1990–2017. BMJ Global Health. 4(5). e001500–e001500. 29 indexed citations

10.

Edwards, Suzanne, et al.. (2015). Using Co-authorship Networks to Map and Analyse Global Neglected Tropical Disease Research with an Affiliation to Germany. PLoS neglected tropical diseases. 9(12). e0004182–e0004182. 46 indexed citations

11.

Philipsborn, Peter von, et al.. (2015). Poverty-related and neglected diseases – an economic and epidemiological analysis of poverty relatedness and neglect in research and development. Global Health Action. 8(1). 25818–25818. 32 indexed citations

12.

Philipsborn, Peter von, et al.. (2013). Research and development expenditure for poverty-related and neglected diseases: an analysis of economic and epidemiological data. The Lancet. 382. 7–7. 2 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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