Paul N. MacDonald

5.4k total citations
59 papers, 4.2k citations indexed

About

Paul N. MacDonald is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Paul N. MacDonald has authored 59 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pathology and Forensic Medicine, 33 papers in Genetics and 30 papers in Molecular Biology. Recurrent topics in Paul N. MacDonald's work include Vitamin D Research Studies (34 papers), Estrogen and related hormone effects (30 papers) and Retinoids in leukemia and cellular processes (19 papers). Paul N. MacDonald is often cited by papers focused on Vitamin D Research Studies (34 papers), Estrogen and related hormone effects (30 papers) and Retinoids in leukemia and cellular processes (19 papers). Paul N. MacDonald collaborates with scholars based in United States, Belgium and Japan. Paul N. MacDonald's co-authors include D E Ong, Diane R. Dowd, Mark R. Haussler, Amelia Sutton, Hisashi Masuyama, Carol A. Haussler, Stephen C. Jefcoat, Michael A. Galligan, Barry S. Komm and David E. Ong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Paul N. MacDonald

59 papers receiving 4.1k citations

Peers

Paul N. MacDonald
Comparison fields: 5 of 116
  • Molecular Biology 2.2k
  • Pathology and Forensic Medicine 1.6k
  • Genetics 1.4k
  • Cell Biology 576
  • Nutrition and Dietetics 541
Replace Ken‐ichi Takeyama with:
Ken‐ichi Takeyama Japan
Margaret Clagett‐Dame United States
Toshimasa Shinki Japan
José Manuel González‐Sancho Spain
Ana Aranda Spain
Hisao Seo Japan
Xiaogang Li United States
Zhousheng Xiao United States
Darren P. Wallace United States
Marı́a M. Fergusson United States
Ken‐ichi Takeyama Japan View profile →
Citations per field, relative to Paul N. MacDonald
Paul N. MacDonald · 1×
Citations per year, relative to Paul N. MacDonald
Paul N. MacDonald · 1×

Countries citing papers authored by Paul N. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Paul N. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul N. MacDonald

This figure shows the co-authorship network connecting the top 25 collaborators of Paul N. MacDonald. A scholar is included among the top collaborators of Paul N. MacDonald 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 Paul N. MacDonald. Paul N. MacDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 17
2 114
3 42
4 22
5 99
6 29
7 4
8 25
9 62
10 166
11 17
12 2
13 111
14 124
15 56
16 27
17 130
18 19
19 6
20 96

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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