Muhammad Saqib
Impact in
- Parasitology top 1%
- Vector-borne infectious diseases
- Small Animals top 0.5%
- Brucella: diagnosis, epidemiology, treatment
Papers in
- Parasitology 38
- Vector-borne infectious diseases 18
- Parasitic Infections and Diagnostics 14
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- Brucella: diagnosis, epidemiology, treatment 15
- Co-authors
- Ghulam Muhammad (32 shared papers)Heinrich Neubauer (18 shared papers)Muhammad Hammad Hussain (23 shared papers)Falk Melzer (13 shared papers)Iahtasham Khan (17 shared papers)Muhammad Nadeem Asi (9 shared papers)Mandy C. Elschner (8 shared papers)Muhammad Khalid Mansoor (14 shared papers)
In The Last Decade
Muhammad Saqib
155 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 141
- Parasitology 372
- Small Animals 404
- Infectious Diseases 378
- Agronomy and Crop Science 178
- Epidemiology 578
Countries citing papers authored by Muhammad Saqib
This map shows the geographic impact of Muhammad Saqib'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 Muhammad Saqib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Saqib more than expected).
Fields of papers citing papers by Muhammad Saqib
This network shows the impact of papers produced by Muhammad Saqib. 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 Muhammad Saqib. The network helps show where Muhammad Saqib may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Saqib, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 115 | |
| 2 | 2010 | 83 | |
| 3 | 2016 | 68 | |
| 4 | TICK CONTROL STRATEGIES IN DAIRY PRODUCTION MEDICINE | 2008 | 51 |
| 5 | 2017 | 47 | |
| 6 | 2009 | 46 | |
| 7 | 2017 | 46 | |
| 8 | 2009 | 40 | |
| 9 | 2011 | 40 | |
| 10 | 2022 | 40 | |
| 11 | 2021 | 36 | |
| 12 | 2007 | 36 | |
| 13 | 2014 | 35 | |
| 14 | 2020 | 32 | |
| 15 | 2007 | 31 | |
| 16 | 2017 | 31 | |
| 17 | 2014 | 30 | |
| 18 | Use of neostigmine in massive ivermectin toxicity in cats. | 2004 | 29 |
| 19 | 2018 | 29 | |
| 20 | 2020 | 29 |
About Muhammad Saqib
Muhammad Saqib is a scholar working on Parasitology, Small Animals, Epidemiology, Plant Science and Food Science, having authored 181 papers that have together received 2.1k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (23 papers), Vector-borne infectious diseases (18 papers), Parasitic infections in humans and animals (15 papers), Brucella: diagnosis, epidemiology, treatment (15 papers), Parasitic Infections and Diagnostics (14 papers), Animal Diversity and Health Studies (12 papers), Vector-Borne Animal Diseases (12 papers) and Microbial infections and disease research (10 papers). The work is most often cited by research in Parasitology (372 citations), Small Animals (404 citations), Infectious Diseases (378 citations), Agronomy and Crop Science (178 citations) and Epidemiology (578 citations). Muhammad Saqib has collaborated with scholars based in Pakistan, China and Germany. Frequent co-authors include Ghulam Muhammad, Heinrich Neubauer, Muhammad Hammad Hussain, Falk Melzer, Iahtasham Khan, Muhammad Nadeem Asi, Mandy C. Elschner, Muhammad Khalid Mansoor, Tariq Jamil and Muhammad Kashif Saleemi. Their work appears in journals such as Infection Genetics and Evolution, Pathogens, Frontiers in Veterinary Science, Acta Tropica and BMC Veterinary Research.
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.