Neil M. Schultz

58 total papers · 829 total citations
38 papers, 555 citations indexed

About

Neil M. Schultz is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Neil M. Schultz has authored 38 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Neil M. Schultz's work include Prostate Cancer Treatment and Research (19 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and Menopause: Health Impacts and Treatments (7 papers). Neil M. Schultz is often cited by papers focused on Prostate Cancer Treatment and Research (19 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and Menopause: Health Impacts and Treatments (7 papers). Neil M. Schultz collaborates with scholars based in United States, United Kingdom and Sweden. Neil M. Schultz's co-authors include Emad Siddiqui, Jason J. Schwartz, E. Gemmen, Krishnan Ramaswamy, Boyka Stoykova, Robin Kroll, Rossella E. Nappi, Daniel J. George, Stanislav Lechpammer and Jack Mardekian and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and The Journal of Urology.

In The Last Decade

Neil M. Schultz

38 papers receiving 543 citations

Author Peers

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

Author Last Decade Papers Cites
Neil M. Schultz 184 177 142 102 97 38 555
Elizabeth L. Chua 312 1.7× 26 0.1× 86 0.6× 49 0.5× 91 0.9× 26 560
Yueju Li 25 0.1× 149 0.8× 63 0.4× 53 0.5× 178 1.8× 40 697
H. Kiener 69 0.4× 86 0.5× 45 0.3× 33 0.3× 67 0.7× 31 643
Uzay Görmüş 82 0.4× 29 0.2× 44 0.3× 36 0.4× 83 0.9× 57 626
Jeremy Jones 235 1.3× 72 0.4× 123 0.9× 62 0.6× 19 0.2× 37 568
R. Dreher 74 0.4× 61 0.3× 46 0.3× 36 0.4× 46 0.5× 29 613
Hee Young Na 102 0.6× 105 0.6× 27 0.2× 83 0.8× 252 2.6× 57 625
Mu-Hsien Yu 22 0.1× 136 0.8× 170 1.2× 17 0.2× 85 0.9× 49 676
Brown Dm 90 0.5× 93 0.5× 27 0.2× 113 1.1× 52 0.5× 29 588
Li Huang 16 0.1× 61 0.3× 107 0.8× 94 0.9× 54 0.6× 41 620

Countries citing papers authored by Neil M. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Neil M. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil M. Schultz. 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 Neil M. Schultz. The network helps show where Neil M. Schultz may publish in the future.

Co-authorship network of co-authors of Neil M. Schultz

This figure shows the co-authorship network connecting the top 25 collaborators of Neil M. Schultz. A scholar is included among the top collaborators of Neil M. Schultz 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 Neil M. Schultz. Neil M. Schultz 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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