John Shultz

1.3k citations
29 papers · 1.1k indexed · h-index 17

Impact in

    • Sperm and Testicular Function
  • Genetics top 10%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Bacterial Genetics and Biotechnology

Papers in

John Shultz

29 papers receiving 1.0k citations

Peers

John Shultz
Comparison fields: 5 of 100
  • Reproductive Medicine 160
  • Genetics 320
  • Molecular Biology 696
  • Cellular and Molecular Neuroscience 161
  • Biochemistry 59
Replace G. A. J. Pitt with:
G. A. J. Pitt United Kingdom
Peter Chase United States
P. W. Jungblut Germany
Akiyuki Takahashi Japan
Susumu Shinagawa Japan
Tishan Williams United States
Reiko Yamazaki Japan
Dolores J. Takemoto United States
S. Shaukat Husain United States
H B Bosmann United States
John Shultz relative to G. A. J. Pitt United Kingdom G. A. J. Pitt's profile →
Citations per field
00.5×10×16.7×
G. A. J. Pitt · 1×
Citations per year

Countries citing papers authored by John Shultz

Since Specialization
Citations

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

Fields of papers citing papers by John Shultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Shultz. 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 John Shultz. The network helps show where John Shultz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside John Shultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Shultz Line = papers co-authored together John Shultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20201
3 20181
4 201876
5 20171
6 201542
7 201425
8 201014
9 200838
10 200834
11 200658
12 200656
13
Development of a human DNA quantitation system.
200126
14 19991
15 1999200
16 19909
17 198442
18 198016
19 198098
20 197920

About John Shultz

John Shultz is a scholar working on Biological Psychiatry, Geography, Planning and Development, Molecular Biology, Reproductive Medicine and Biotechnology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (7 papers), Carbohydrate Chemistry and Synthesis (3 papers), Photoreceptor and optogenetics research (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Biotin and Related Studies (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Reproductive Medicine (160 citations), Genetics (320 citations), Molecular Biology (696 citations), Cellular and Molecular Neuroscience (161 citations) and Biochemistry (59 citations). John Shultz has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Henry Weiner, James J. Cali, Dieter H. Klaubert, Jay Y. Westcott, Wenhui Zhou, Keith V. Wood, Terry Riss, R.D. Myers, Michael P. Valley and Niels P. Fiil. Their work appears in journals such as Biochemical Pharmacology, ChemBioChem, Journal of Biological Chemistry, SpringerPlus and Journal of the American Chemical Society.

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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