Muhammad Ishfaq

5.4k citations
178 papers · 3.9k indexed · 1 hit paper · h-index 37

Muhammad Ishfaq

161 papers receiving 3.8k citations

Hit Papers

A deep learning approach for brain tumor classification u...153202220262023202450100150

Peers

Muhammad Ishfaq
Comparison fields: 5 of 159
  • Microbiology 501
  • Molecular Medicine 321
  • Animal Science and Zoology 468
  • Pharmacology 314
  • Immunology 575
Replace Seung‐Chun Park with:
Seung‐Chun Park South Korea
Zhengtao Yang China
Yuanfeng Zou China
Dan Li China
Lizi Yin China
Marc Maresca France
Yuanliang Hu China
Kehe Huang China
Maria Elena Rodríguez‐Cabezas Spain
Yong‐Suk Jang South Korea
Muhammad Ishfaq relative to Seung‐Chun Park South Korea Seung‐Chun Park's profile →
Citations per field
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Seung‐Chun Park · 1×
Citations per year

Countries citing papers authored by Muhammad Ishfaq

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ishfaq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20240
4 20240
5 202336
6 20236
7 20230
8 202242
9 20223
10 202040
11 202031
12 202023
13 202044
14 201844
15 201833
16
Performance of Yankasa Sheep Fed Complete Rations Containing Inclusion Levels of Ensiled Sugarcane Waste with Poultry Litter
20171
17 201730
18
From basic to contemporary semen analysis: limitations and variability.
20154
19
Determination of Some Heavy Metals in Soil Samples Obtained From Rimi Local Government in Katsina State, Nigeria
20133
20
Commercially focused forage production from Columbus grass and centurion grown alone or in mixtures in the semi arid environment.
20091

About Muhammad Ishfaq

Muhammad Ishfaq is a scholar working on Microbiology, Molecular Medicine, Pharmacology, Animal Science and Zoology and Parasitology, having authored 178 papers that have together received 3.9k indexed citations. Recurring topics across this work include Microbial infections and disease research (30 papers), Aquaculture disease management and microbiota (21 papers), Genomics, phytochemicals, and oxidative stress (15 papers), Antibiotic Resistance in Bacteria (12 papers), Mycobacterium research and diagnosis (11 papers), Curcumin's Biomedical Applications (10 papers), Toxoplasma gondii Research Studies (9 papers) and Ruminant Nutrition and Digestive Physiology (8 papers). The work is most often cited by research in Microbiology (501 citations), Molecular Medicine (321 citations), Animal Science and Zoology (468 citations), Pharmacology (314 citations) and Immunology (575 citations). Muhammad Ishfaq has collaborated with scholars based in China, Pakistan and Nigeria. Frequent co-authors include Jichang Li, Xiuying Zhang, Xiaoqi Sun, Chunli Chen, Sihong Li, Syed Waqas Ali Shah, Zhiyong Wu, Jian Wang, Rui Li and Wanying Hu. Their work appears in journals such as Poultry Science, Frontiers in Pharmacology, Ecotoxicology and Environmental Safety, Frontiers in Veterinary Science and Animal Feed Science and Technology.

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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