David J. Schultz

55 papers receiving 1.4k citations

Peers

David J. Schultz
Comparison fields: 5 of 133
  • Internal Medicine 114
  • Biochemistry 152
  • Cancer Research 157
  • Biochemistry 66
  • Complementary and alternative medicine 78
Replace Xiaojuan Zhang with:
Xiaojuan Zhang China
Alice Maria Costa Martins Brazil
Mai Takahashi Japan
Thomas B. Elliott United States
Rajinder Singh Malaysia
Gajendra Kumar Azad India
Valérie Gausson France
Xiaojie Wang China
Claire Wilson United Kingdom
Khalequz Zaman United States
David J. Schultz relative to Xiaojuan Zhang China Xiaojuan Zhang's profile →
Citations per field
00.5×10×20×28.5×
Xiaojuan Zhang · 1×
Citations per year

Countries citing papers authored by David J. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by David J. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David J. Schultz, 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 David J. Schultz Line = papers co-authored together David J. Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009169
2 2004146
3 1994129
4 2021121
5 2012108
6
Substance-abusing child welfare parents: treatment and child placement outcomes.
200187
7 199664
8 201557
9 200056
10 199955
11 201050
12 201838
13 200625
14 200223
15 201922
16 201621
17 201221
18 201720
19 201220
20 201119

About David J. Schultz

David J. Schultz is a scholar working on Complementary and alternative medicine, Parasitology, Biochemistry, Molecular Biology and Microbiology, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Ginkgo biloba and Cashew Applications (6 papers), Wildlife Ecology and Conservation (5 papers), Lipid metabolism and biosynthesis (5 papers), Bird parasitology and diseases (4 papers), Microbial infections and disease research (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Internal Medicine (114 citations), Biochemistry (152 citations), Cancer Research (157 citations), Biochemistry (66 citations) and Complementary and alternative medicine (78 citations). David J. Schultz has collaborated with scholars based in United States, Australia and Czechia. Frequent co-authors include John B. Ohlrogge, Mi Chung Suh, Ralph O. Mumma, June I. Medford, Diana Cox-Foster, Timothy D. Cummins, William L. Dean, David W. Powell, Richard Craig and Farrukh Aqil. Their work appears in journals such as Australian Veterinary Journal, Thrombosis and Haemostasis, International Journal of Molecular Sciences, Journal of Wildlife Diseases and Australian Journal of Zoology.

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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