James L. Sackrison

10 papers receiving 745 citations

James L. Sackrison's Hit Papers

Ultrasensitive and Highly Specific Lateral Flow Assays for Point-of-Care Diagnosis 2021 · 450 citations
4500+1+3Years since publication100200300400

Peers

James L. Sackrison
Comparison fields: 5 of 92
  • Pathology and Forensic Medicine 207
  • Biomedical Engineering 367
  • Infectious Diseases 124
  • Molecular Biology 336
  • Nutrition and Dietetics 50
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Robert Zuk United States
Stephanie D. Gan United States
Zhiqian Chen China
Asako Suzuki Japan
Carmen Fernández‐Merino Spain
Rosario Alende Spain
Yutong Han China
Katarina Radulović Serbia
Airu Zhu China
Mandy L.Y. Sin United States
James L. Sackrison relative to Robert Zuk United States Robert Zuk's profile →
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Citations per year

Countries citing papers authored by James L. Sackrison

Since Specialization
Citations

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

Fields of papers citing papers by James L. Sackrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James L. Sackrison. 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 James L. Sackrison. The network helps show where James L. Sackrison may publish in the future.

Co-authors

The 20 scholars most cited alongside James L. Sackrison, 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 James L. Sackrison Line = papers co-authored together James L. Sackrison links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Ultrasensitive and Highly Specific Lateral Flow Assays for Point-of-Care Diagnosis
Hit paper breakdown →
2021450
2 2004202
3 200431
4 200229
5 202125
6 19968
7 19867
8 19873
9 20041
10
Effects of HL-60 cell membrane glycosaminoglycans on binding of differentiation-associated receptors.
19851

About James L. Sackrison

James L. Sackrison is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cell Biology, Infectious Diseases and Nutrition and Dietetics, having authored 10 papers that have together received 757 indexed citations. Recurring topics across this work include Vitamin D Research Studies (4 papers), Proteoglycans and glycosaminoglycans research (3 papers), Vitamin C and Antioxidants Research (2 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (207 citations), Biomedical Engineering (367 citations), Infectious Diseases (124 citations), Molecular Biology (336 citations) and Nutrition and Dietetics (50 citations). James L. Sackrison has collaborated with scholars based in United States, Belgium and Papua New Guinea. Frequent co-authors include Li Zhan, John C. Bischof, Yilin Liu, Zhenpeng Qin, Gordon D. MacFarlane, Diana L. Ersfeld, Jean-Jacques Body, D. Sudhaker Rao, Nayana Parikh and Sharon D. Luikart. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Clinical Biochemistry, ACS Applied Nano Materials, The Anatomical Record and ACS Nano.

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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