Ming Kalanon

4.2k citations
22 papers · 1.1k · h-index 18

Impact in

Papers in

Ming Kalanon

22 papers receiving 1.1k citations

Peers

Ming Kalanon
Comparison fields: 5 of 70
  • Parasitology 271
  • Public Health, Environmental and Occupational Health 679
  • Virology 36
  • Immunology 163
  • Molecular Biology 473
Replace Melanie J. Shears with:
Melanie J. Shears United States
Suzanne Li United States
Ilaria Russo United Kingdom
Catherine Q. Nie Australia
Kylie A. Mullin Australia
Tom Metcalf United Kingdom
Lubin Jiang China
Shalon E. Babbitt United States
Keith H. Ansell United Kingdom
Abigail J. Perrin United Kingdom
Ming Kalanon relative to Melanie J. Shears United States Melanie J. Shears's profile →
Citations per field
00.5×1.5×2.4×
Melanie J. Shears · 1×
Citations per year

Countries citing papers authored by Ming Kalanon

Since Specialization
Citations

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

Fields of papers citing papers by Ming Kalanon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014201
2 2012113
3 2013102
4 2008100
5 201378
6 201367
7 200966
8 200764
9 201659
10 201053
11 201532
12 201630
13 200928
14 201928
15 201324
16 201620
17 201618
18 201717
19 201813
20 202011

About Ming Kalanon

Ming Kalanon is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Parasitology, Oncology and Immunology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Malaria Research and Control (13 papers), Mosquito-borne diseases and control (10 papers), Parasites and Host Interactions (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Toxoplasma gondii Research Studies (2 papers), Protist diversity and phylogeny (2 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Parasitology (271 citations), Public Health, Environmental and Occupational Health (679 citations), Virology (36 citations), Immunology (163 citations) and Molecular Biology (473 citations). Ming Kalanon has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Geoffrey I. McFadden, Tania F. de Koning‐Ward, Christopher J. Tonkin, Kathryn Matthews, Paul R. Gilson, Natalie A. Counihan, Brendan S. Crabb, Ross L. Coppel, Sarah C. Charnaud and Paul R. Sanders. Their work appears in journals such as PLoS ONE, Cellular Microbiology, Genetics, Trends in Parasitology and Traffic.

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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