Diana Albrecht

22 total papers · 1.7k total citations
13 papers, 1.0k citations indexed

About

Diana Albrecht is a scholar working on Pharmacology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Diana Albrecht has authored 13 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 4 papers in Epidemiology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Diana Albrecht's work include Musculoskeletal pain and rehabilitation (4 papers), Balance, Gait, and Falls Prevention (3 papers) and Cardiovascular and exercise physiology (2 papers). Diana Albrecht is often cited by papers focused on Musculoskeletal pain and rehabilitation (4 papers), Balance, Gait, and Falls Prevention (3 papers) and Cardiovascular and exercise physiology (2 papers). Diana Albrecht collaborates with scholars based in Germany, United States and Spain. Diana Albrecht's co-authors include Gala Gutiérrez-Buey, A. Scholz, Onyebuchi Okosieme, Peter Taylor, Colin Dayan, John H. Lazarus, Klaus Pfeiffer, Clemens Becker, Martin Hautzinger and Martin Bahls and has published in prestigious journals such as Scientific Reports, Nature Reviews Endocrinology and Atherosclerosis.

In The Last Decade

Diana Albrecht

13 papers receiving 982 citations

Hit Papers

Global epidemiology of hy... 2018 2026 2020 2023 2018 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Diana Albrecht 607 143 112 105 85 13 1.0k
Gala Gutiérrez-Buey 646 1.1× 148 1.0× 127 1.1× 109 1.0× 108 1.3× 6 1.0k
Vijay Panicker 943 1.6× 119 0.8× 73 0.7× 127 1.2× 60 0.7× 22 1.1k
Charlotte Cerqueira 523 0.9× 54 0.4× 98 0.9× 93 0.9× 76 0.9× 24 972
Pavel Fort 453 0.7× 123 0.9× 71 0.6× 195 1.9× 64 0.8× 26 913
Usha Chopra 739 1.2× 179 1.3× 133 1.2× 123 1.2× 74 0.9× 11 1.1k
Chotoo I. Bhagat 351 0.6× 114 0.8× 85 0.8× 42 0.4× 54 0.6× 18 823
Daniel Kelly 652 1.1× 192 1.3× 46 0.4× 73 0.7× 122 1.4× 16 1.1k
Rebecca Ferrini 298 0.5× 114 0.8× 62 0.6× 79 0.8× 88 1.0× 23 957
Carolyn McMillan 607 1.0× 82 0.6× 76 0.7× 39 0.4× 68 0.8× 19 829
Jee‐Young Oh 575 0.9× 112 0.8× 175 1.6× 100 1.0× 150 1.8× 19 1.0k

Countries citing papers authored by Diana Albrecht

Since Specialization
Citations

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

Fields of papers citing papers by Diana Albrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Albrecht

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

All Works

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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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