Fatima Majeed

638 total citations
24 papers, 427 citations indexed

About

Fatima Majeed is a scholar working on Molecular Biology, General Health Professions and Surgery. According to data from OpenAlex, Fatima Majeed has authored 24 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in General Health Professions and 4 papers in Surgery. Recurrent topics in Fatima Majeed's work include Medicinal Plants and Bioactive Compounds (3 papers), Traditional Chinese Medicine Analysis (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Fatima Majeed is often cited by papers focused on Medicinal Plants and Bioactive Compounds (3 papers), Traditional Chinese Medicine Analysis (2 papers) and Vaccine Coverage and Hesitancy (2 papers). Fatima Majeed collaborates with scholars based in Pakistan, China and United Kingdom. Fatima Majeed's co-authors include Muhammad Naveed, Qing Feng, Muhammad Saeed, Aochang Chen, Min Li, Sadia Fatima, Lijun Chen, Falak Zeb, Xiaoyue Wu and Hafiz Muhammad Zubair and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal Of Nutrition and BMC Public Health.

In The Last Decade

Fatima Majeed

19 papers receiving 423 citations

Peers

Fatima Majeed
Comparison fields: 5 of 99
  • Molecular Biology 153
  • Physiology 145
  • Endocrine and Autonomic Systems 69
  • Biochemistry 41
  • Plant Science 36
Replace Mohammed A. Alzoghaibi with:
Mohammed A. Alzoghaibi Saudi Arabia
Bárbara S. Rocha Portugal
Barbara Lieder Austria
Somporn Chotinaruemol Thailand
Marzieh Kafeshani Iran
Nawazish‐i‐Husain Syed Pakistan
Mohsen Sedighiyan Iran
Vanni Caruso Australia
Hamed Jafari‐Vayghan Iran
Behnaz Aslanıpour Türkiye
Mohammed A. Alzoghaibi Saudi Arabia View profile →
Citations per field, relative to Fatima Majeed
Fatima Majeed · 1×
Citations per year, relative to Fatima Majeed
Fatima Majeed · 1×

Countries citing papers authored by Fatima Majeed

Since Specialization
Citations

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

Fields of papers citing papers by Fatima Majeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatima Majeed

This figure shows the co-authorship network connecting the top 25 collaborators of Fatima Majeed. A scholar is included among the top collaborators of Fatima Majeed 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 Fatima Majeed. Fatima Majeed 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
# Work Indexed citations
1 0
2 2
3 0
4 0
5 0
6 0
7 3
8 5
9 6
10 30
11 6
12 135
13 2
14 18
15 58
16 14
17 3
18 10
19 46
20 2

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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