J. C. Rückert

33 total papers · 885 total citations
13 papers, 606 citations indexed

About

J. C. Rückert is a scholar working on Surgery, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J. C. Rückert has authored 13 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Neurology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J. C. Rückert's work include Myasthenia Gravis and Thymoma (4 papers), Pleural and Pulmonary Diseases (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). J. C. Rückert is often cited by papers focused on Myasthenia Gravis and Thymoma (4 papers), Pleural and Pulmonary Diseases (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). J. C. Rückert collaborates with scholars based in Germany, United States and Italy. J. C. Rückert's co-authors include Mahmoud Ismail, F Theissig, Yvonne Dörffel, Vera Loening‐Baucke, Michael Weizenegger, Johannes Schilling, S.H. Kühn, Alexander Swidsinski, J. M. Müller and Jens Neudecker and has published in prestigious journals such as Gut, The Journal of Infectious Diseases and British journal of surgery.

In The Last Decade

J. C. Rückert

13 papers receiving 594 citations

Author Peers

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

Author Last Decade Papers Cites
J. C. Rückert 212 192 141 126 92 13 606
Hegang H. Chen 255 1.2× 113 0.6× 83 0.6× 99 0.8× 45 0.5× 17 606
Tomoyoshi Mohri 128 0.6× 94 0.5× 220 1.6× 82 0.7× 69 0.8× 13 515
Svetolik Djurkovic 122 0.6× 58 0.3× 139 1.0× 92 0.7× 56 0.6× 17 575
John Losurdo 289 1.4× 199 1.0× 93 0.7× 204 1.6× 59 0.6× 16 690
A.E. Gent 141 0.7× 208 1.1× 260 1.8× 80 0.6× 33 0.4× 28 688
Jacqueline de Jongh-Leuvenink 67 0.3× 120 0.6× 265 1.9× 53 0.4× 77 0.8× 8 645
Roy A. Pizzarello 99 0.5× 141 0.7× 125 0.9× 71 0.6× 85 0.9× 24 633
J Vivancos 207 1.0× 151 0.8× 213 1.5× 96 0.8× 32 0.3× 32 671
Andrew R. Freedman 94 0.4× 122 0.6× 110 0.8× 95 0.8× 57 0.6× 24 627
Rakhi Kohli 92 0.4× 64 0.3× 257 1.8× 347 2.8× 74 0.8× 19 602

Countries citing papers authored by J. C. Rückert

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Rückert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Rückert. 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 J. C. Rückert. The network helps show where J. C. Rückert may publish in the future.

Co-authorship network of co-authors of J. C. Rückert

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Rückert. A scholar is included among the top collaborators of J. C. Rückert 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 J. C. Rückert. J. C. Rückert 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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