Sumaira Mubarik

35.4k citations
76 papers · 1.0k indexed · h-index 20
Topics
Global Cancer Incidence and Screening (17 papers)Cancer Risks and Factors (12 papers)Global Health Care Issues (10 papers)
Partner nations
ChinaPakistanNetherlands

In The Last Decade

Sumaira Mubarik

73 papers receiving 1.0k citations

Peers

Sumaira Mubarik
Comparison fields: 5 of 136
  • Oncology 286
  • Epidemiology 142
  • Health, Toxicology and Mutagenesis 122
  • Molecular Biology 116
  • Public Health, Environmental and Occupational Health 108
Replace Jiayuan Wu with:
Jiayuan Wu China
Maryam Noori Iran
Heling Bao China
Bolin Wang China
Randeep Guleria India
Sarah Gadd United Kingdom
Omar Yaxmehen Bello‐Chavolla Mexico
Laura Pasea United Kingdom
Helen Strongman United Kingdom
Jing Tan China
Sumaira Mubarik relative to Jiayuan Wu China Jiayuan Wu's profile →
Citations per field
00.5×1.7×
Jiayuan Wu · 1×
Citations per year

Countries citing papers authored by Sumaira Mubarik

Since Specialization
Citations

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

Fields of papers citing papers by Sumaira Mubarik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumaira Mubarik

This figure shows the co-authorship network connecting the top 25 collaborators of Sumaira Mubarik. A scholar is included among the top collaborators of Sumaira Mubarik 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 Sumaira Mubarik. Sumaira Mubarik 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 0
2 2
3 5
4 3
5 10
6 4
7 3
8 9
9 3
10 13
11 42
12 59
13 6
14 1
15 42
16 4
17 2
18 13
19 10
20 10

About Sumaira Mubarik

Sumaira Mubarik is a scholar working on Obstetrics and Gynecology, Modeling and Simulation and Organizational Behavior and Human Resource Management, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (17 papers), Cancer Risks and Factors (12 papers) and Global Health Care Issues (10 papers). The work is most often cited by research in Oncology (286 citations), Health, Toxicology and Mutagenesis (122 citations) and Obstetrics and Gynecology (69 citations). Sumaira Mubarik has collaborated with scholars based in China, Pakistan and Netherlands. Frequent co-authors include Chuanhua Yu, Fang Wang, Xiaoxue Liu, Saima Shakil Malik, Nawsherwan Nawsherwan, Yafeng Wang, Fang Shi, Muhammad Fawad, Jianjun Bai and Yudiyang Ma. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Chemosphere.

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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