T. M. Rizki

2.0k citations
48 papers · 1.5k · h-index 19

Impact in

    • Insect symbiosis and bacterial influences
    • Insect-Plant Interactions and Control
  • Immunology top 5%
    • Invertebrate Immune Response Mechanisms
    • Aquaculture disease management and microbiota

Papers in

T. M. Rizki

48 papers receiving 1.4k citations

Peers

T. M. Rizki
Comparison fields: 5 of 81
  • Insect Science 866
  • Immunology 863
  • Cellular and Molecular Neuroscience 409
  • Aging 23
  • Biological Psychiatry 18
Replace Rose M. Rizki with:
Rose M. Rizki United States
Linh N Pham United States
Susumu Izumi Japan
Vassilis J. Marmaras Greece
Christine Kappler France
R Lanot France
Serge Ohresser France
Yoshimasa Yagi Japan
Daniel Zachary France
Hyuck‐Jin Nam South Korea
T. M. Rizki relative to Rose M. Rizki United States Rose M. Rizki's profile →
Citations per field
00.5×1.5×
Rose M. Rizki · 1×
Citations per year

Countries citing papers authored by T. M. Rizki

Since Specialization
Citations

This map shows the geographic impact of T. M. Rizki'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 T. M. Rizki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. M. Rizki more than expected).

Fields of papers citing papers by T. M. Rizki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. M. Rizki. 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 T. M. Rizki. The network helps show where T. M. Rizki may publish in the future.

Co-authors

The 12 scholars most cited alongside T. M. Rizki, 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 T. M. Rizki Line = papers co-authored together T. M. Rizki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992157
2 1990142
3 1984135
4 198099
5 198585
6 199066
7 199062
8
circulatory system and associated cells and tissues
197858
9 199451
10 198050
11 196249
12 198342
13 198041
14 198037
15 199134
16 197429
17 196726
18 197820
19 196319
20 197216

About T. M. Rizki

T. M. Rizki is a scholar working on Immunology, Molecular Biology, Insect Science, Cellular and Molecular Neuroscience and Plant Science, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (17 papers), Insect symbiosis and bacterial influences (11 papers), Neurobiology and Insect Physiology Research (10 papers), Insect Resistance and Genetics (7 papers), Mosquito-borne diseases and control (4 papers), Tryptophan and brain disorders (4 papers), Insect Pest Control Strategies (4 papers) and Insect Utilization and Effects (3 papers). The work is most often cited by research in Insect Science (866 citations), Immunology (863 citations), Cellular and Molecular Neuroscience (409 citations), Aging (23 citations) and Biological Psychiatry (18 citations). T. M. Rizki has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Rose M. Rizki, E. H. Grell, Y. Carton, Chris Andrews, Trevor Jowett, C. R. Bebbington, David B. Roberts, K. Sláma, Ann Sodja and Thomas B. Friedman. Their work appears in journals such as The Journal of Cell Biology, Development Genes and Evolution, Cellular and Molecular Life Sciences, Journal of Experimental Zoology and Journal of Insect Physiology.

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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