Saw Bawm

692 total citations
54 papers, 463 citations indexed

About

Saw Bawm is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Saw Bawm has authored 54 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Parasitology, 14 papers in Infectious Diseases and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Saw Bawm's work include Vector-borne infectious diseases (13 papers), Parasitic Infections and Diagnostics (12 papers) and Viral Infections and Vectors (10 papers). Saw Bawm is often cited by papers focused on Vector-borne infectious diseases (13 papers), Parasitic Infections and Diagnostics (12 papers) and Viral Infections and Vectors (10 papers). Saw Bawm collaborates with scholars based in Myanmar, Japan and United States. Saw Bawm's co-authors include Lat Lat Htun, Ken Katakura, Ryo Nakao, Nariaki Nonaka, Yuzaburo Oku, May June Thu, Hideyuki Matsuura, Subeki Subeki, Kensuke Nabeta and Ahmed Elkhateeb and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Saw Bawm

51 papers receiving 448 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saw Bawm Myanmar 13 212 118 105 89 53 54 463
Haroon Akbar Pakistan 14 323 1.5× 121 1.0× 68 0.6× 84 0.9× 95 1.8× 63 597
Seung-Won Kang South Korea 12 176 0.8× 53 0.4× 78 0.7× 92 1.0× 45 0.8× 38 430
Fujiko Sunaga Japan 11 132 0.6× 183 1.6× 86 0.8× 50 0.6× 23 0.4× 38 430
Ahmad Nematollahi Iran 13 222 1.0× 88 0.7× 112 1.1× 44 0.5× 109 2.1× 49 488
Bijan Esmaeilnejad Iran 15 437 2.1× 202 1.7× 41 0.4× 180 2.0× 100 1.9× 65 582
Fernanda Silveira Flores Vogel Brazil 13 316 1.5× 157 1.3× 33 0.3× 171 1.9× 99 1.9× 53 599
S. M. Byregowda India 10 72 0.3× 141 1.2× 99 0.9× 109 1.2× 17 0.3× 58 442
Paulo Mota Bandarra Brazil 12 92 0.4× 93 0.8× 150 1.4× 110 1.2× 54 1.0× 65 445
Daya Shanker India 13 307 1.4× 103 0.9× 25 0.2× 159 1.8× 96 1.8× 68 452
Thomas Jäkel Germany 13 269 1.3× 119 1.0× 65 0.6× 42 0.5× 19 0.4× 27 637

Countries citing papers authored by Saw Bawm

Since Specialization
Citations

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

Fields of papers citing papers by Saw Bawm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saw Bawm

This figure shows the co-authorship network connecting the top 25 collaborators of Saw Bawm. A scholar is included among the top collaborators of Saw Bawm 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 Saw Bawm. Saw Bawm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sato, Jumpei, Takumi Sato, Eiji Oishi, et al.. (2024). In Vivo Characterization of the Anti-Glutathione S-Transferase Antibody Using an In Vitro Mite Feeding Model. Vaccines. 12(2). 148–148. 2 indexed citations
2.
Sato, Jumpei, Takumi Sato, Eiji Oishi, et al.. (2024). Potential of histamine release factor for the utilization as a universal vaccine antigen against poultry red mites, tropical fowl mites, and northern fowl mites. Journal of Veterinary Medical Science. 87(1). 1–12.
3.
Shiro, M., Jumpei Sato, Takumi Sato, et al.. (2023). Potential of ferritin 2 as an antigen for the development of a universal vaccine for avian mites, poultry red mites, tropical fowl mites, and northern fowl mites. Frontiers in Veterinary Science. 10. 1182930–1182930. 3 indexed citations
5.
Aung, Si Thu, Saw Bawm, Lat Lat Htun, et al.. (2023). The first molecular confirmation of Culex pipiens complex as potential natural vectors of Dirofilaria immitis in Myanmar. Medical and Veterinary Entomology. 37(3). 542–549. 3 indexed citations
6.
Bawm, Saw, et al.. (2023). Molecular detection of Dirofilaria immitis and its Wolbachia endosymbionts in dogs from Myanmar. SHILAP Revista de lepidopterología. 4. 100148–100148. 2 indexed citations
7.
Moustafa, Mohamed Abdallah Mohamed, May June Thu, Elisha Chatanga, et al.. (2022). Comparative mitogenomics elucidates the population genetic structure of Amblyomma testudinarium in Japan and a closely related Amblyomma species in Myanmar. Evolutionary Applications. 15(7). 1062–1078. 15 indexed citations
10.
Tú, Vương Tân, Tamás Görföl, Gábor Csorba, et al.. (2021). Integrative taxonomy and biogeography of Asian yellow house bats (Vespertilionidae:Scotophilus) in the Indomalayan Region. Journal of Zoological Systematics & Evolutionary Research. 59(3). 772–795. 4 indexed citations
11.
Htun, Lat Lat, et al.. (2021). Phylogenetic analysis of Myanmar indigenous chickens using mitochondrial D‐loop sequence reveals their characteristics as a genetic resource. Animal Science Journal. 92(1). e13647–e13647. 3 indexed citations
12.
Bawm, Saw, May June Thu, Lat Lat Htun, et al.. (2021). Identification, genetic variation, and structural analysis of 18S rRNA of Theileria orientalis and Theileria velifera-like isolates from Myanmar. Parasitology International. 82. 102299–102299. 7 indexed citations
13.
Bawm, Saw, May June Thu, Lat Lat Htun, et al.. (2021). PCR detection and genetic characterization of piroplasms from dogs in Myanmar, and a possible role of dogs as reservoirs for Theileria parasites infecting cattle, water buffaloes, and goats. Ticks and Tick-borne Diseases. 12(4). 101729–101729. 10 indexed citations
14.
Htun, Lat Lat, et al.. (2021). The first seroepidemiological study on Toxoplasma gondii in backyard pigs in Myanmar. Parasite Epidemiology and Control. 14. e00216–e00216. 5 indexed citations
15.
Yang, Zhiyuan, M. Shiro, Ken Katakura, et al.. (2020). Molecular detection and genetic characterization of infectious laryngotracheitis virus in poultry in Myanmar. BMC Veterinary Research. 16(1). 9 indexed citations
16.
Bawm, Saw, et al.. (2020). Late Quaternary Environmental and Human Impacts on the Mitochondrial DNA Diversity of Four Commensal Rodents in Myanmar. Journal of Mammalian Evolution. 28(2). 497–509. 3 indexed citations
17.
Htun, Lat Lat, Saw Bawm, M. Shiro, et al.. (2020). Detection and molecular identification of Leucocytozoon and Plasmodium species from village chickens in different areas of Myanmar. Acta Tropica. 212. 105719–105719. 21 indexed citations
18.
Htun, Lat Lat, et al.. (2019). Bacterial content and associated risk factors influencing the quality of bulk tank milk collected from dairy cattle farms in Mandalay Region. Food Science & Nutrition. 7(3). 1063–1071. 18 indexed citations
19.
Shiro, M., Ken Katakura, Saw Bawm, et al.. (2019). Haematophagous mites on poultry farms in the Republic of the Union of Myanmar. Heliyon. 5(4). e01544–e01544. 11 indexed citations
20.
Bawm, Saw, May June Thu, Lat Lat Htun, et al.. (2018). First molecular detection of Theileria luwenshuni from goats in Myanmar. Parasitology Research. 117(10). 3361–3364. 12 indexed citations

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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