Kim Munro

35 papers receiving 1.2k citations

Peers

Kim Munro
Comparison fields: 5 of 136
  • Nutrition and Dietetics 127
  • Organic Chemistry 239
  • Linguistics and Language 39
  • Process Chemistry and Technology 21
  • Molecular Medicine 32
Replace Daiana A. Capdevila with:
Daiana A. Capdevila United States
Sylvain Trépout France
Christopher P. Gordon Australia
Nicolas Humbert France
Karsten Seidel Germany
Chih-chin Huang United States
Paola Laurino Japan
Alan Riboldi‐Tunnicliffe United Kingdom
Melissa S. T. Koay Netherlands
Z.F. Kanyo United States
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Citations per field
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Daiana A. Capdevila · 1×
Citations per year

Countries citing papers authored by Kim Munro

Since Specialization
Citations

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

Fields of papers citing papers by Kim Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011338
2 2016231
3 201687
4 201056
5 199549
6 201746
7 201344
8 201742
9
Documentary and technology: A committed relationship?
201741
10 199539
11 202137
12 201833
13 200931
14 201727
15 200624
16 201022
17 202016
18 201916
19
Automatic event detection and picking of P-wave arrivals
200415
20 202312

About Kim Munro

Kim Munro is a scholar working on Molecular Biology, Economics and Econometrics, Plant Science, Visual Arts and Performing Arts and Organic Chemistry, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cinema and Media Studies (7 papers), Plant Stress Responses and Tolerance (4 papers), Molecular Junctions and Nanostructures (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant Molecular Biology Research (3 papers), Enzyme Structure and Function (3 papers), N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (3 papers) and Theatre and Performance Studies (3 papers). The work is most often cited by research in Nutrition and Dietetics (127 citations), Organic Chemistry (239 citations), Linguistics and Language (39 citations), Process Chemistry and Technology (21 citations) and Molecular Medicine (32 citations). Kim Munro has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Walter Chazin, Seth Chitayat, Thomas E. Kehl‐Fie, Nicole Restrepo, M. Indriati Hood, Steven M. Damo, Carlos García, Eric P. Skaar, J. Hugh Horton and Mina R. Narouz. Their work appears in journals such as Studies in Documentary Film, ACS Applied Materials & Interfaces, Biochemistry, Journal of Biological Chemistry and Nature Communications.

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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