Tina Backhaus

16 total papers · 745 total citations
10 papers, 552 citations indexed

About

Tina Backhaus is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Rheumatology. According to data from OpenAlex, Tina Backhaus has authored 10 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Hematology and 3 papers in Rheumatology. Recurrent topics in Tina Backhaus's work include Autoimmune and Inflammatory Disorders Research (3 papers), Musculoskeletal synovial abnormalities and treatments (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Tina Backhaus is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (3 papers), Musculoskeletal synovial abnormalities and treatments (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Tina Backhaus collaborates with scholars based in Germany and Switzerland. Tina Backhaus's co-authors include Sarah Ohrndorf, Johannes Strunk, Horst Sattler, Wolfgang Schmidt, Wolfgang Hartung, M. Backhaus, H. Kellner, Karsten Becker, G.-R. Burmester and Jörg Kaufmann and has published in prestigious journals such as European Heart Journal, Annals of the Rheumatic Diseases and European Journal of Preventive Cardiology.

In The Last Decade

Tina Backhaus

10 papers receiving 545 citations

Author Peers

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

Author						Papers	Cites
Tina Backhaus	372	178	143	139	52	10	552
Mercedes Jiménez Palop	410 1.1×	50 0.3×	168 1.2×	108 0.8×	38 0.7×	10	480
Anette Savnik	407 1.1×	70 0.4×	177 1.2×	81 0.6×	37 0.7×	10	580
M. Quinn	364 1.0×	59 0.3×	66 0.5×	138 1.0×	11 0.2×	14	569
Aaron S. Weinstein	427 1.1×	44 0.2×	111 0.8×	93 0.7×	6 0.1×	13	559
N. Nishimoto	78 0.2×	51 0.3×	188 1.3×	56 0.4×	10 0.2×	10	484
Ulrich Mansmann	62 0.2×	154 0.9×	169 1.2×	46 0.3×	65 1.3×	12	559
John M. Porter	114 0.3×	77 0.4×	422 3.0×	39 0.3×	22 0.4×	11	589
J. W. Laws	95 0.3×	80 0.4×	146 1.0×	78 0.6×	12 0.2×	17	497
Gerald D. Groff	303 0.8×	19 0.1×	282 2.0×	69 0.5×	56 1.1×	11	592
V. F. Panoulas	376 1.0×	133 0.7×	38 0.3×	132 0.9×	3 0.1×	7	527

Countries citing papers authored by Tina Backhaus

Since Specialization

Citations

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

Fields of papers citing papers by Tina Backhaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Backhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Backhaus. A scholar is included among the top collaborators of Tina Backhaus 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 Tina Backhaus. Tina Backhaus 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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