David W. Nigg

108 total papers · 1.7k total citations
68 papers, 1.2k citations indexed

About

David W. Nigg is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Materials Chemistry. According to data from OpenAlex, David W. Nigg has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Radiation and 29 papers in Materials Chemistry. Recurrent topics in David W. Nigg's work include Boron Compounds in Chemistry (46 papers), Nuclear Physics and Applications (32 papers) and Radiopharmaceutical Chemistry and Applications (30 papers). David W. Nigg is often cited by papers focused on Boron Compounds in Chemistry (46 papers), Nuclear Physics and Applications (32 papers) and Radiopharmaceutical Chemistry and Applications (30 papers). David W. Nigg collaborates with scholars based in United States, Argentina and India. David W. Nigg's co-authors include Verónica A. Trivillin, Amanda E. Schwint, Elisa M. Heber, María E. Itoiz, Floyd J. Wheeler, Emiliano C. C. Pozzi, Andrea Monti Hughes, Marcela A. Garabalino, M. Frederick Hawthorne and Romina F. Aromando and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

David W. Nigg

62 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
David W. Nigg 1.0k 481 444 219 57 68 1.2k
Yoshinobu Nakagawa 913 0.9× 473 1.0× 300 0.7× 213 1.0× 43 0.8× 63 1.2k
Teruhito Aihara 918 0.9× 449 0.9× 308 0.7× 304 1.4× 188 3.3× 75 1.3k
Silva Bortolussi 1.1k 1.0× 608 1.3× 503 1.1× 342 1.6× 23 0.4× 101 1.4k
Gianfranco Cicoria 562 0.5× 234 0.5× 162 0.4× 310 1.4× 49 0.9× 56 974
Iiro Auterinen 865 0.8× 613 1.3× 299 0.7× 266 1.2× 26 0.5× 63 1.1k
R. Gahbauer 662 0.6× 528 1.1× 169 0.4× 482 2.2× 149 2.6× 63 1.2k
W. S. Kiger 1.2k 1.2× 682 1.4× 392 0.9× 325 1.5× 21 0.4× 35 1.3k
R. A. Boll 686 0.7× 198 0.4× 146 0.3× 290 1.3× 24 0.4× 34 1.1k
Tiina Seppälä 1.1k 1.1× 771 1.6× 280 0.6× 291 1.3× 45 0.8× 60 1.4k
Robert G. Zamenhof 1.1k 1.1× 745 1.5× 273 0.6× 432 2.0× 25 0.4× 55 1.4k

Countries citing papers authored by David W. Nigg

Since Specialization
Citations

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

Fields of papers citing papers by David W. Nigg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Nigg. 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 David W. Nigg. The network helps show where David W. Nigg may publish in the future.

Co-authorship network of co-authors of David W. Nigg

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Nigg. A scholar is included among the top collaborators of David W. Nigg 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 David W. Nigg. David W. Nigg 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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