David J. Schultz

49 papers receiving 1.2k citations

Peers

David J. Schultz
Comparison fields: 5 of 131
  • Internal Medicine 119
  • Biochemistry 135
  • Biochemistry 65
  • Cancer Research 154
  • Critical Care and Intensive Care Medicine 48
Replace Alice Maria Costa Martins with:
Alice Maria Costa Martins Brazil
Hitendra S. Chand United States
Yingjie Liu China
Thomas B. Elliott United States
J. Fuchs Germany
W. Haider Germany
Ângelo Ferreira Chora Portugal
Valérie Gausson France
Arif Uddin India
Xiaojie Wang China
David J. Schultz relative to Alice Maria Costa Martins Brazil Alice Maria Costa Martins's profile →
Citations per field
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Alice Maria Costa Martins · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009152
2 2004128
3 1994123
4 2021104
5 2012101
6
Substance-abusing child welfare parents: treatment and child placement outcomes.
200185
7 199655
8 199953
9 200051
10 201047
11 201836
12 200625
13 200220
14 201618
15 201218
16 201718
17 201116
18 200215
19 201515
20 201614

About David J. Schultz

David J. Schultz is a scholar working on Molecular Biology, Ecology, Plant Science, Oncology and Genetics, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (5 papers), Extracellular vesicles in disease (5 papers), Wildlife Ecology and Conservation (4 papers), Bird parasitology and diseases (4 papers), Ginkgo biloba and Cashew Applications (4 papers), Microbial infections and disease research (4 papers), MicroRNA in disease regulation (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Internal Medicine (119 citations), Biochemistry (135 citations), Biochemistry (65 citations), Cancer Research (154 citations) and Critical Care and Intensive Care Medicine (48 citations). David J. Schultz has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John B. Ohlrogge, Mi Chung Suh, Richard Craig, June I. Medford, Ralph O. Mumma, Diana Cox-Foster, William L. Dean, David W. Powell, Timothy D. Cummins and Jeyaprakash Jeyabalan. Their work appears in journals such as Australian Veterinary Journal, Microbiology, Journal of Wildlife Diseases, Thrombosis and Haemostasis 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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