Eric T. Mack

795 citations
13 papers · 622 indexed · h-index 10

Impact in

Papers in

Eric T. Mack

13 papers receiving 607 citations

Peers

Eric T. Mack
Comparison fields: 5 of 92
  • Physical and Theoretical Chemistry 96
  • Molecular Biology 407
  • Organic Chemistry 169
  • Computational Theory and Mathematics 75
  • Filtration and Separation 8
Replace Enguerran Vanquelef with:
Enguerran Vanquelef France
Dominic P. O′Brien United Kingdom
Michael R. Duff United States
Jian Yin United States
Ilja V. Khavrutskii United States
Pandian Sokkar Germany
Wojciech Jankowski Poland
Elizabeth A. Amin United States
T. Srikrishnan United States
Isabel Pastor Spain
Eric T. Mack relative to Enguerran Vanquelef France Enguerran Vanquelef's profile →
Citations per field
00.5×2.5×
Enguerran Vanquelef · 1×
Citations per year

Countries citing papers authored by Eric T. Mack

Since Specialization
Citations

This map shows the geographic impact of Eric T. Mack'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 T. Mack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Mack more than expected).

Fields of papers citing papers by Eric T. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20121
2 2011278
3 201114
4 201185
5 201186
6 201134
7 20106
8 20098
9 200934
10 200834
11 200516
12 200511
13 200415

About Eric T. Mack

Eric T. Mack is a scholar working on Physical and Theoretical Chemistry, Genetics, Bioengineering, Organic Chemistry and Molecular Biology, having authored 13 papers that have together received 622 indexed citations. Recurring topics across this work include Enzyme function and inhibition (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical Synthesis and Analysis (2 papers), Molecular Junctions and Nanostructures (2 papers), Photochromic and Fluorescence Chemistry (2 papers), Protein Structure and Dynamics (1 paper), Analytical Chemistry and Chromatography (1 paper) and bioluminescence and chemiluminescence research (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (96 citations), Molecular Biology (407 citations), Organic Chemistry (169 citations), Computational Theory and Mathematics (75 citations) and Filtration and Separation (8 citations). Eric T. Mack has collaborated with scholars based in United States and Poland. Frequent co-authors include George M. Whitesides, Phillip W. Snyder, Demetri T. Moustakas, Jasmin Mecinović, A. Héroux, Raquel Perez‐Castillejos, Matthew R. Lockett, Woody Sherman, Samuel W. Thomas and Michael Harder. Their work appears in journals such as Journal of the American Chemical Society, Analytical and Bioanalytical Chemistry, Analytical Chemistry, Bioorganic & Medicinal Chemistry Letters and 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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