Daniel N. Willis

23 total papers · 432 total citations
16 papers, 287 citations indexed

About

Daniel N. Willis is a scholar working on Physiology, Surgery and Sensory Systems. According to data from OpenAlex, Daniel N. Willis has authored 16 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Surgery and 3 papers in Sensory Systems. Recurrent topics in Daniel N. Willis's work include Smoking Behavior and Cessation (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Neutropenia and Cancer Infections (2 papers). Daniel N. Willis is often cited by papers focused on Smoking Behavior and Cessation (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Neutropenia and Cancer Infections (2 papers). Daniel N. Willis collaborates with scholars based in United States, Spain and Australia. Daniel N. Willis's co-authors include John B. Morris, Boyi Liu, Sven‐Eric Jordt, Michael Ha, Francesca Gany, Judith T. Zelikoff, Sven E. Jordt, Robert J. Hayashi, Carol Hoffman and Jason L. Blum and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Daniel N. Willis

16 papers receiving 280 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel N. Willis 112 68 67 59 31 16 287
Nan‐Hsiung Feng 30 0.3× 52 0.8× 62 0.9× 28 0.5× 61 2.0× 17 318
Aaron C. Bartoo 18 0.2× 27 0.4× 39 0.6× 61 1.0× 32 1.0× 13 282
Jessica E. Brown 25 0.2× 188 2.8× 51 0.8× 40 0.7× 24 0.8× 9 293
Dierk A. Vagts 20 0.2× 19 0.3× 90 1.3× 17 0.3× 34 1.1× 19 292
Elizabeth A. Donald 16 0.1× 61 0.9× 80 1.2× 47 0.8× 6 0.2× 16 318
Helin Chen 10 0.1× 46 0.7× 90 1.3× 46 0.8× 6 0.2× 13 325
Raheema Muhammad-Kah 11 0.1× 168 2.5× 90 1.3× 22 0.4× 28 0.9× 14 311
G. V. L. N. Murty 63 0.6× 54 0.8× 99 1.5× 39 0.7× 36 1.2× 14 312
Nikita Hanning 24 0.2× 84 1.2× 102 1.5× 29 0.5× 7 0.2× 16 323
Anne Jomard 8 0.1× 67 1.0× 101 1.5× 43 0.7× 11 0.4× 11 309

Countries citing papers authored by Daniel N. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel N. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel N. Willis. 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 Daniel N. Willis. The network helps show where Daniel N. Willis may publish in the future.

Co-authorship network of co-authors of Daniel N. Willis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel N. Willis. A scholar is included among the top collaborators of Daniel N. Willis 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 Daniel N. Willis. Daniel N. Willis 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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