J. Mack

2.0k citations
23 papers · 1.4k · h-index 19

Impact in

Papers in

    • Protein Structure and Dynamics 5
    • Cell death mechanisms and regulation 4
    • Biochemical and Molecular Research 3
    • RNA and protein synthesis mechanisms 3
    • Genomics and Phylogenetic Studies 2
    • Enzyme Structure and Function 4

J. Mack

22 papers receiving 1.4k citations

Peers

J. Mack
Comparison fields: 5 of 87
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 195
  • Infectious Diseases 197
  • Spectroscopy 148
  • Animal Science and Zoology 81
Replace Theresa A. Ramelot with:
Theresa A. Ramelot United States
Jun‐Goo Jee South Korea
Michael W. Mather United States
David T. Barkan United States
Eveline Lescrinier Belgium
Kyun‐Hwan Kim South Korea
Lukáš Pravda Czechia
Kellon Belfon United States
Lauren Raguette United States
Rodrigo V. Honorato Brazil
J. Mack relative to Theresa A. Ramelot United States Theresa A. Ramelot's profile →
Citations per field
00.5×3.4×
Theresa A. Ramelot · 1×
Citations per year

Countries citing papers authored by J. Mack

Since Specialization
Citations

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

Fields of papers citing papers by J. Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000334
2 2004192
3 2000166
4 200084
5 200083
6 200471
7 199766
8 200764
9 201051
10 201551
11 200433
12 200432
13 201229
14 201226
15 200622
16 200222
17 201420
18 201319
19 200118
20 200318

About J. Mack

J. Mack is a scholar working on Molecular Biology, Materials Chemistry, Epidemiology, Plant Science and Infectious Diseases, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Cell death mechanisms and regulation (4 papers), Enzyme Structure and Function (4 papers), Biochemical and Molecular Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Computational Drug Discovery Methods (2 papers), Genomics and Phylogenetic Studies (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Computational Theory and Mathematics (195 citations), Infectious Diseases (197 citations), Spectroscopy (148 citations) and Animal Science and Zoology (81 citations). J. Mack has collaborated with scholars based in United States, Czechia and South Africa. Frequent co-authors include Stephen W. Fesik, Philip J. Hajduk, Edward T. Olejniczak, Stephen F. Betz, Renaldo Mendoza, Haichao Zhang, Liping Yu, Robert Meadows, David G. Nettesheim and Yi Wang. Their work appears in journals such as Journal of the American Chemical Society, Biochemistry, Protein Science, Journal of Molecular Biology and Proceedings of the National Academy of Sciences.

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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