Eric N. Kaufman

968 citations
30 papers · 711 · h-index 15

Impact in

Papers in

    • Innovative Microfluidic and Catalytic Techniques Innovation 5
    • Biofuel production and bioconversion 5
    • Protein purification and stability 5
    • Enzyme Catalysis and Immobilization 4

Eric N. Kaufman

29 papers receiving 676 citations

Peers

Eric N. Kaufman
Comparison fields: 5 of 102
  • Immunology 148
  • Process Chemistry and Technology 21
  • Biophysics 38
  • Radiology, Nuclear Medicine and Imaging 126
  • Biomedical Engineering 174
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Weiping Shi China
Sadettin S. Ozturk United States
Yusuke Sasaki Japan
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Citations per year

Countries citing papers authored by Eric N. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Eric N. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric N. Kaufman. 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 Eric N. Kaufman. The network helps show where Eric N. Kaufman may publish in the future.

Co-authors

The 24 scholars most cited alongside Eric N. Kaufman, 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 Eric N. Kaufman Line = papers co-authored together Eric N. Kaufman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987127
2
Effect of bivalent interaction upon apparent antibody affinity: experimental confirmation of theory using fluorescence photobleaching and implications for antibody binding assays.
1992113
3 198874
4 199043
5 199832
6 199431
7 199930
8 199126
9 199524
10 199724
11 199723
12 199622
13 199917
14 199716
15 199415
16 200214
17 199611
18 19929
19 19979
20 19949

About Eric N. Kaufman

Eric N. Kaufman is a scholar working on Biomedical Engineering, Molecular Biology, Mechanical Engineering, Pollution and Biotechnology, having authored 30 papers that have together received 711 indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Biofuel production and bioconversion (5 papers), Enzyme Catalysis and Immobilization (4 papers), Anaerobic Digestion and Biogas Production (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Enzyme Production and Characterization (4 papers) and Wastewater Treatment and Nitrogen Removal (4 papers). The work is most often cited by research in Immunology (148 citations), Process Chemistry and Technology (21 citations), Biophysics (38 citations), Radiology, Nuclear Medicine and Imaging (126 citations) and Biomedical Engineering (174 citations). Eric N. Kaufman has collaborated with scholars based in United States. Frequent co-authors include Rakesh K. Jain, Stefanie N. Vogel, S Douches, R Neta, Michelle D. Tate, S N Vogel, Abhijeet P. Borole, Brian H. Davison, Timothy C. Scott and James N. Petersen. Their work appears in journals such as Applied Biochemistry and Biotechnology, Biotechnology and Bioengineering, Industrial & Engineering Chemistry Research, Biophysical Journal and Biotechnology Progress.

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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