Maria P. MacWilliams

504 total citations
17 papers, 410 citations indexed

About

Maria P. MacWilliams is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Maria P. MacWilliams has authored 17 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Ecology. Recurrent topics in Maria P. MacWilliams's work include Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (6 papers) and DNA and Nucleic Acid Chemistry (3 papers). Maria P. MacWilliams is often cited by papers focused on Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (6 papers) and DNA and Nucleic Acid Chemistry (3 papers). Maria P. MacWilliams collaborates with scholars based in United States, Switzerland and China. Maria P. MacWilliams's co-authors include Thomas A. Bickle, Jeffrey F. Gardner, Richard Gumport, Jürg Dreier, Pavel Janščák, Valakunja Nagaraja, Elźbieta Skrzypek, P. Hübner, Andrzej Piekarowicz and Mark L. Chiu and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and The EMBO Journal.

In The Last Decade

Maria P. MacWilliams

16 papers receiving 401 citations

Peers

Maria P. MacWilliams
Comparison fields: 5 of 66
  • Molecular Biology 306
  • Genetics 166
  • Ecology 97
  • Plant Science 40
  • Molecular Medicine 36
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Ryosuke Kadoya Japan
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Citations per field, relative to Maria P. MacWilliams
Maria P. MacWilliams · 1×
Citations per year, relative to Maria P. MacWilliams
Maria P. MacWilliams · 1×

Countries citing papers authored by Maria P. MacWilliams

Since Specialization
Citations

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

Fields of papers citing papers by Maria P. MacWilliams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria P. MacWilliams. 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 Maria P. MacWilliams. The network helps show where Maria P. MacWilliams may publish in the future.

Co-authorship network of co-authors of Maria P. MacWilliams

This figure shows the co-authorship network connecting the top 25 collaborators of Maria P. MacWilliams. A scholar is included among the top collaborators of Maria P. MacWilliams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria P. MacWilliams. Maria P. MacWilliams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 0
3 17
4 14
5
Indole Test Protocol
9
6 28
7
Luria Broth (LB) and Luria Agar (LA) Media and Their Uses Protocol
35
8 60
9 25
10 13
11 39
12 17
13 29
14 19
15 53
16
A genetic analysis of bacteriophage lambda integrase-core site interactions
3
17 48

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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