Nicholas C. Field

69 total papers · 735 total citations
40 papers, 447 citations indexed

About

Nicholas C. Field is a scholar working on Neurology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nicholas C. Field has authored 40 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 9 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nicholas C. Field's work include Intracranial Aneurysms: Treatment and Complications (11 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Vascular Malformations Diagnosis and Treatment (6 papers). Nicholas C. Field is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (11 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Vascular Malformations Diagnosis and Treatment (6 papers). Nicholas C. Field collaborates with scholars based in United States, Canada and Lebanon. Nicholas C. Field's co-authors include Tracie A. Caller, Elijah W. Stommel, Jonathan Chipman, John Dalfino, Paul Alan Cox, Alexandra Paúl, Sandra Anne Banack, Pouya Entezami, James S. Metcalf and Patricia Henegan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Journal of neurosurgery.

In The Last Decade

Nicholas C. Field

33 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas C. Field 200 130 63 49 46 40 447
É. Lagrange 152 0.8× 87 0.7× 16 0.3× 18 0.4× 43 0.9× 49 422
Denis Malaise 74 0.4× 86 0.7× 27 0.4× 39 0.8× 10 0.2× 21 486
Xukui Wang 51 0.3× 182 1.4× 14 0.2× 31 0.6× 13 0.3× 25 533
Mohammad Ali Arif 39 0.2× 159 1.2× 28 0.4× 28 0.6× 35 0.8× 40 520
Roland Patai 78 0.4× 125 1.0× 32 0.5× 39 0.8× 13 0.3× 42 474
Claudia Vanetti 66 0.3× 101 0.8× 9 0.1× 43 0.9× 14 0.3× 40 428
Aditi Sharma 31 0.2× 192 1.5× 16 0.3× 104 2.1× 20 0.4× 35 468
Qiong Wang 48 0.2× 97 0.7× 14 0.2× 63 1.3× 16 0.3× 36 504
Yaolin Li 64 0.3× 97 0.7× 79 1.3× 42 0.9× 6 0.1× 32 537
Xia Shi 67 0.3× 108 0.8× 32 0.5× 145 3.0× 4 0.1× 44 433

Countries citing papers authored by Nicholas C. Field

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas C. Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas C. Field

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