William J. Hoekstra

2.7k citations
70 papers · 2.2k indexed · 1 hit paper · h-index 27

William J. Hoekstra

69 papers receiving 2.1k citations

Hit Papers

Structural analyses of Candida albicans sterol 14α-demeth...20172026202020232017100200300

Peers

William J. Hoekstra
Comparison fields: 5 of 102
  • Organic Chemistry 728
  • Infectious Diseases 701
  • Molecular Biology 609
  • Epidemiology 568
  • Hematology 310
Replace Michael G. Natchus with:
Michael G. Natchus United States
Harumi Iida Japan
Chung‐Pu Wu Taiwan
Johann Hofmann Austria
Louis Grenier Canada
Manlio Tolomeo Italy
John K. Buolamwini United States
Xavier Morelli France
Shenping Liu United States
Tove Tuntland United States
William J. Hoekstra relative to Michael G. Natchus United States Michael G. Natchus's profile →
Citations per field
00.5×3.7×
Michael G. Natchus · 1×
Citations per year

Countries citing papers authored by William J. Hoekstra

Since Specialization
Citations

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

Fields of papers citing papers by William J. Hoekstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Hoekstra. 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 William J. Hoekstra. The network helps show where William J. Hoekstra may publish in the future.

Co-authorship network of co-authors of William J. Hoekstra

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Hoekstra. A scholar is included among the top collaborators of William J. Hoekstra 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 William J. Hoekstra. William J. Hoekstra 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
#WorkIndexed citations
1 1
2 71
3 23
4 152
5 45
6 15
7 14
8 26
9 17
10 7
11 86
12 10
13 26
14 47
15 47
16 10
17 12
18 29
19 16
20 27

About William J. Hoekstra

William J. Hoekstra is a scholar working on Hematology, Immunology and Allergy and Infectious Diseases, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (18 papers), Fungal Infections and Studies (12 papers) and Chemical Synthesis and Analysis (10 papers). The work is most often cited by research in Infectious Diseases (701 citations), Hematology (310 citations) and Organic Chemistry (728 citations). William J. Hoekstra has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Robert J. Schotzinger, Edward P. Garvey, Bruce E. Maryanoff, Christopher M. Yates, Barry G. Shearer, Patricia Andrade‐Gordon, Galina I. Lepesheva, Tatiana Y. Hargrove, Z. Wawrzak and Aidong Qi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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