Michael Ma

595 citations
39 papers · 465 · h-index 12

Impact in

Papers in

    • Insect Pheromone Research and Control 5
    • Insect and Pesticide Research 4
    • Insect Resistance and Genetics 8
    • Viral Infectious Diseases and Gene Expression in Insects 5

Michael Ma

36 papers receiving 442 citations

Peers

Michael Ma
Comparison fields: 5 of 79
  • Insect Science 169
  • Cellular and Molecular Neuroscience 135
  • Physiology 20
  • Genetics 118
  • Molecular Biology 191
Replace Edward A. Mead with:
Edward A. Mead United States
Tsuguru Fujii Japan
Megumi Sumitani Japan
Sook‐Jae Seo South Korea
Yi-Han Lou China
Annie Ohanessian France
Barbara Kłudkiewicz Poland
Yoshiyuki Sekizawa Japan
Morgan Haugen United States
Michael Ma relative to Edward A. Mead United States Edward A. Mead's profile →
Citations per field
00.5×2.9×
Edward A. Mead · 1×
Citations per year

Countries citing papers authored by Michael Ma

Since Specialization
Citations

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

Fields of papers citing papers by Michael Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200078
2 198450
3 200237
4 199335
5 198422
6 198020
7 198619
8 202515
9 199114
10 198713
11 198612
12 200011
13 198811
14 199610
15 198710
16 198410
17 19909
18 19729
19 19849
20 19908

About Michael Ma

Michael Ma is a scholar working on Insect Science, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 39 papers that have together received 465 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (12 papers), Insect and Arachnid Ecology and Behavior (11 papers), Insect Resistance and Genetics (8 papers), Insect Pheromone Research and Control (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Animal Behavior and Reproduction (4 papers), Insect and Pesticide Research (4 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Insect Science (169 citations), Cellular and Molecular Neuroscience (135 citations), Physiology (20 citations), Genetics (118 citations) and Molecular Biology (191 citations). Michael Ma has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Wendell E. Burkholder, Shuenn-Jue Wu, Irina V. Lebedeva, C.A. Stein, Garry Β. Takle, He Gong, Lyuba Benimetskaya, Alexej B. Bořkovec, Perry B. Newton and Norman R. Schmuff. Their work appears in journals such as Journal of Insect Physiology, Annals of the Entomological Society of America, Archives of Insect Biochemistry and Physiology, General and Comparative Endocrinology and Physiological Entomology.

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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