James H. Nichols

4.4k citations
143 papers · 2.3k indexed · h-index 27

James H. Nichols

133 papers receiving 2.1k citations

Peers

James H. Nichols
Comparison fields: 5 of 175
  • Endocrinology, Diabetes and Metabolism 656
  • Medical Laboratory Technology 60
  • Statistics, Probability and Uncertainty 190
  • Toxicology 77
  • Physiology 511
Replace Graham Jones with:
Graham Jones Australia
Gerald J. Kost United States
James O. Westgard United States
Ferruccio Ceriotti Italy
Tze Ping Loh Singapore
Gary L. Horowitz United States
Sverre Sandberg Norway
Walthère Dewé Belgium
Andrea Padoan Italy
Martin H. Kroll United States
James H. Nichols relative to Graham Jones Australia Graham Jones's profile →
Citations per field
00.5×1.5×
Graham Jones · 1×
Citations per year

Countries citing papers authored by James H. Nichols

Since Specialization
Citations

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

Fields of papers citing papers by James H. Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20250
3 20248
4 20231
5 202337
6 2018101
7 201634
8 20145
9 201270
10
Application of a Real Time Free Wake Induced Velocity Model in a Naval Rotorcraft Flight Trainer
20113
11 201149
12 20094
13 20088
14 2007116
15
Reducing medical errors through barcoding at the point of care.
200540
16 200118
17 20012
18 19801
19 19791
20 19751

About James H. Nichols

James H. Nichols is a scholar working on Medical Laboratory Technology, Chemical Health and Safety and Statistics, Probability and Uncertainty, having authored 143 papers that have together received 2.3k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (38 papers), Diabetes Management and Research (30 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (28 papers), Meta-analysis and systematic reviews (15 papers), Quality and Safety in Healthcare (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Diabetes and associated disorders (6 papers) and Forensic Toxicology and Drug Analysis (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (656 citations), Medical Laboratory Technology (60 citations) and Statistics, Probability and Uncertainty (190 citations). James H. Nichols has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Ksenia N. Tonyushkina, Mark Claypool, Anatoly Bezkorovainy, Robert Kinicki, Show‐Hong Duh, Glen L. Hortin, David C. Klonoff, Georg F. Springer, Mingzhe Li and Gillian Lawson. Their work appears in journals such as Journal of Diabetes Science and Technology, Clinical Chemistry, Clinica Chimica Acta, Church History and Clinical Biochemistry.

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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