Muhammad Asif

461 citations
46 papers · 336 indexed · h-index 11
Topics
Vector-borne infectious diseases (15 papers)Vector-Borne Animal Diseases (13 papers)Viral Infections and Vectors (12 papers)
Partner nations
PakistanTürkiyeTunisia

In The Last Decade

Muhammad Asif

42 papers receiving 318 citations

Peers

Muhammad Asif
Comparison fields: 5 of 72
  • Parasitology 177
  • Ecology, Evolution, Behavior and Systematics 112
  • Infectious Diseases 104
  • Small Animals 54
  • Plant Science 37
Replace Runhui Zhang with:
Runhui Zhang China
Mary Suzan Varaschin Brazil
Mario Pasquetti Italy
Ahmed Abdel-Rady Egypt
Fabiane Borelli Grecco Brazil
Djeison Lutier Raymundo Brazil
D. Romito Italy
Muhammad Tahir Aleem China
Saroj Kumar Yadav India
Mi‐Jin Lee South Korea
Muhammad Asif relative to Runhui Zhang China Runhui Zhang's profile →
Citations per field
00.5×3.5×
Runhui Zhang · 1×
Citations per year

Countries citing papers authored by Muhammad Asif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Asif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Asif

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Asif. A scholar is included among the top collaborators of Muhammad Asif 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 Muhammad Asif. Muhammad Asif 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
#WorkIndexed citations
1 11
2 0
3 2
4 3
5 12
6 2
7 4
8 10
9 1
10 11
11 16
12 5
13 5
14 6
15 26
16 1
17
DMD Gene Mutation identification in Duchenne Muscular Dystrophy Patients of Quetta, Balochistan, Pakistan
1
18 1
19
Frequency of brucellosis in high risk human groups in Pakistan detected through polymerase chain reaction and its comparison with conventional slide agglutination test.
13
20
Evaluation of Antimicrobial activity of Tephrosia procumbens Buch –Ham
2

About Muhammad Asif

Muhammad Asif is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 46 papers that have together received 336 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (15 papers), Vector-Borne Animal Diseases (13 papers) and Viral Infections and Vectors (12 papers). The work is most often cited by research in Parasitology (177 citations), Small Animals (54 citations) and Ecology, Evolution, Behavior and Systematics (112 citations). Muhammad Asif has collaborated with scholars based in Pakistan, Türkiye and Tunisia. Frequent co-authors include Furhan Iqbal, Münir Aktaş, Saira Asif, Shahid Nazir, Sezayi Özübek, Asia Parveen, Adil Khan, M. Iqbal Choudhary, Mourad Ben Saïd and Sammer Yousuf. Their work appears in journals such as Circulation, PLoS ONE and Scientific Reports.

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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