Daniel Gordon

22 papers receiving 765 citations

Peers

Daniel Gordon
Comparison fields: 5 of 100
  • Electronic, Optical and Magnetic Materials 185
  • Automotive Engineering 123
  • Electrical and Electronic Engineering 454
  • Endocrinology, Diabetes and Metabolism 112
  • Animal Science and Zoology 49
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Citations per year

Countries citing papers authored by Daniel Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016106
2 201495
3 201692
4 201969
5
Correlations of plasma high-density lipoprotein cholesterol levels with other plasma lipid and lipoprotein concentrations.
198069
6 201648
7 197346
8 201545
9 198439
10 197239
11 201831
12 198828
13 197226
14 201217
15 198215
16 201814
17 197211
18
Minerals in seafoods: their bioavailability and interactions
19887
19 20175
20 20043

About Daniel Gordon

Daniel Gordon is a scholar working on Electrical and Electronic Engineering, Nutrition and Dietetics, Electronic, Optical and Magnetic Materials, Biomedical Engineering and Automotive Engineering, having authored 25 papers that have together received 811 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (6 papers), Advancements in Battery Materials (6 papers), Supercapacitor Materials and Fabrication (3 papers), Advanced Battery Technologies Research (2 papers), Conducting polymers and applications (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Trace Elements in Health (2 papers) and Plant Micronutrient Interactions and Effects (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (185 citations), Automotive Engineering (123 citations), Electrical and Electronic Engineering (454 citations), Endocrinology, Diabetes and Metabolism (112 citations) and Animal Science and Zoology (49 citations). Daniel Gordon has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Gleb Yushin, Alexandre Magasinski, Naoki Nitta, Choh Hao Li, Enbo Zhao, Anirudh Ramanujapuram, Yiran Xiao, Chenchen Hu, Feixiang Wu and Nasr Bensalah. Their work appears in journals such as Advanced Energy Materials, Journal of Food Science, History and Theory, Advanced Materials Interfaces and ACS Applied Materials & Interfaces.

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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