A A Pakula

1.1k citations
12 papers · 953 · h-index 10

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Lipid Membrane Structure and Behavior
    • Photosynthetic Processes and Mechanisms
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • RNA and protein synthesis mechanisms 7
    • Protein Structure and Dynamics 5
    • Bacterial Genetics and Biotechnology 6

A A Pakula

12 papers receiving 913 citations

Peers

A A Pakula
Comparison fields: 5 of 104
  • Molecular Biology 764
  • Genetics 298
  • Cell Biology 97
  • Endocrinology 23
  • Cellular and Molecular Neuroscience 66
Replace Michael B. Mann with:
Michael B. Mann United States
H L Weith United States
Daniel Chelsky United States
Shui-Zhong Yan United States
Patrick M. Schaeffer Australia
Michael Yu United States
Odd Nygârd Sweden
Daniel Röder Switzerland
Michael H. Sayre United States
Robert J. Brooker United States
A A Pakula relative to Michael B. Mann United States Michael B. Mann's profile →
Citations per field
00.5×1.7×
Michael B. Mann · 1×
Citations per year

Countries citing papers authored by A A Pakula

Since Specialization
Citations

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

Fields of papers citing papers by A A Pakula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside A A Pakula, 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 A A Pakula Line = papers co-authored together A A Pakula links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1989189
2 1992176
3 1990143
4 1986129
5 1989114
6 198985
7 199546
8 198637
9 198116
10 199211
11 19916
12 19861

About A A Pakula

A A Pakula is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Ecology and Sociology and Political Science, having authored 12 papers that have together received 953 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers), Protein Structure and Dynamics (5 papers), Enzyme Structure and Function (3 papers), Bacteriophages and microbial interactions (2 papers), Folate and B Vitamins Research (1 paper), Interdisciplinary Studies and Sociocultural Dynamics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Molecular Biology (764 citations), Genetics (298 citations), Cell Biology (97 citations), Endocrinology (23 citations) and Cellular and Molecular Neuroscience (66 citations). A A Pakula has collaborated with scholars based in United States. Frequent co-authors include Robert T. Sauer, Melvin I. Simon, Vincent B. Young, Judith Hess, Robert B. Bourret, Katherine A. Borkovich, Harvey A. Skinner, James U. Bowie, Henry G. Mautner and Robert E. Merrill. Their work appears in journals such as Proceedings of the National Academy of Sciences, Professional Psychology Research and Practice, Nature, Proteins Structure Function and Bioinformatics and Annual Review of Genetics.

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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