G. A. Luckenbach

22 total papers · 512 total citations
16 papers, 434 citations indexed

About

G. A. Luckenbach is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, G. A. Luckenbach has authored 16 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in G. A. Luckenbach's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (4 papers) and Immunotherapy and Immune Responses (4 papers). G. A. Luckenbach is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (4 papers) and Immunotherapy and Immune Responses (4 papers). G. A. Luckenbach collaborates with scholars based in Germany, Australia and United Kingdom. G. A. Luckenbach's co-authors include Beate Diefenbach, Alfred Jonczyk, Raj Mehta, Simon L. Goodman, Reinhard Andreesen, G. W. Löhr, P. G. Munder, Detlef Güssow, Jagjivan R. Mehta and K. Bross and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and JNCI Journal of the National Cancer Institute.

In The Last Decade

G. A. Luckenbach

16 papers receiving 406 citations

Author Peers

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

Author Last Decade Papers Cites
G. A. Luckenbach 200 157 148 119 68 16 434
Naoko Kawakami-Kimura 255 1.3× 83 0.5× 156 1.1× 69 0.6× 103 1.5× 12 378
I Boulet 252 1.3× 227 1.4× 61 0.4× 65 0.5× 84 1.2× 12 487
Michael Gallatin 143 0.7× 255 1.6× 183 1.2× 126 1.1× 70 1.0× 13 494
Timothy J. Dudgeon 273 1.4× 84 0.5× 195 1.3× 133 1.1× 77 1.1× 10 468
Sonja Schiffer 150 0.8× 179 1.1× 184 1.2× 128 1.1× 53 0.8× 12 467
Robert G. Parsons 245 1.2× 76 0.5× 79 0.5× 57 0.5× 73 1.1× 19 492
Trevor M. Twose 124 0.6× 215 1.4× 68 0.5× 126 1.1× 45 0.7× 9 428
P Salem 156 0.8× 243 1.5× 78 0.5× 108 0.9× 43 0.6× 13 404
E Wolff 192 1.0× 102 0.6× 40 0.3× 86 0.7× 74 1.1× 17 398
Kevin Moulder 105 0.5× 219 1.4× 112 0.8× 128 1.1× 52 0.8× 14 409

Countries citing papers authored by G. A. Luckenbach

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Luckenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Luckenbach. 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 G. A. Luckenbach. The network helps show where G. A. Luckenbach may publish in the future.

Co-authorship network of co-authors of G. A. Luckenbach

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