Md Bashir Uddin

56 papers receiving 689 citations

Peers

Md Bashir Uddin
Comparison fields: 5 of 93
  • Applied Microbiology and Biotechnology 42
  • Molecular Medicine 70
  • Parasitology 51
  • Microbiology 48
  • Virology 36
Replace Bianca Paglietti with:
Bianca Paglietti Italy
Jonathan A. G. Cox United Kingdom
Jayaprakasam Madhumathi India
K. H. M. Nazmul Hussain Nazir Bangladesh
Toyotaka Sato Japan
Wei-Shan Chang China
Shao-Hung Wang Taiwan
Cristina Bacci Italy
Muhammad Asad Ali Pakistan
Elizabeth J. Klemm United Kingdom
Md Bashir Uddin relative to Bianca Paglietti Italy Bianca Paglietti's profile →
Citations per field
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Bianca Paglietti · 1×
Citations per year

Countries citing papers authored by Md Bashir Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Md Bashir Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Bashir Uddin. 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 Md Bashir Uddin. The network helps show where Md Bashir Uddin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 202165
3 201840
4
Coproscopic and Haematological Approaches to Determine the Prevalence of Helminthiasis and Protozoan Diseases of Red Chittagong Cattle (RCC) Breed in Bangladesh
201037
5 201729
6 201729
7 201628
8 201727
9 202426
10 201726
11 202225
12 202121
13 202120
14 202018
15 201515
16
Traditional medicine/plants for the treatment of reproductive disorders in Asia nations.
201614
17 202213
18 202212
19 202210
20 202210

About Md Bashir Uddin

Md Bashir Uddin is a scholar working on Epidemiology, Immunology, Food Science, Agronomy and Crop Science and Infectious Diseases, having authored 64 papers that have together received 716 indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Respiratory viral infections research (6 papers), Salmonella and Campylobacter epidemiology (6 papers), Animal Disease Management and Epidemiology (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Immune Cell Function and Interaction (5 papers), Vector-Borne Animal Diseases (5 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (42 citations), Molecular Medicine (70 citations), Parasitology (51 citations), Microbiology (48 citations) and Virology (36 citations). Md Bashir Uddin has collaborated with scholars based in Bangladesh, United States and South Korea. Frequent co-authors include Jong‐Soo Lee, Tae‐Hwan Kim, Chul‐Joong Kim, Hyun‐Cheol Lee, Chamilani Nikapitiya, Jae Hoon Kim, Byeong-Hoon Lee, Kiramage Chathuranga, Syed Sayeem Uddin Ahmed and Mahmudul Hasan. Their work appears in journals such as Frontiers in Immunology, Antibiotics, Transboundary and Emerging Diseases, The Journal of Microbiology and Infection Genetics and Evolution.

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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