Muhammad Tufail

1.3k citations
57 papers · 608 indexed · 3 hit papers · h-index 14

Muhammad Tufail

48 papers receiving 595 citations

Hit Papers

Tumor dormancy and relapse: understanding t...1620242026202550100150

Peers

Muhammad Tufail
Comparison fields: 5 of 100
  • Cancer Research 174
  • Molecular Biology 315
  • Oncology 125
  • Health Informatics 4
  • Immunology 56
Replace Lindsay A. Broadfield with:
Lindsay A. Broadfield Canada
Qiumeng Liu China
Lei Gan China
Andreas Hedblom United States
Qiuzhen Liu China
Valerio Ciccone Italy
Jiehui Di China
Clare Coveney United Kingdom
Yuechun Zhu China
Muhammad Tufail relative to Lindsay A. Broadfield Canada Lindsay A. Broadfield's profile →
Citations per field
00.5×10×
Lindsay A. Broadfield · 1×
Citations per year

Countries citing papers authored by Muhammad Tufail

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Tufail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20254
3 20250
4
Tumor dormancy and relapse: understanding the molecular mechanisms of cancer recurrencebreakdown →
202516
5 20250
6 20248
7
Altered metabolism in cancer: insights into energy pathways and therapeutic targetsbreakdown →
2024161
8 20245
9 20242
10 202314
11 20239
12 202314
13 20231
14 202314
15 20238
16 20227
17 20213
18 20203
19 201916
20 20194

About Muhammad Tufail

Muhammad Tufail is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 57 papers that have together received 608 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (9 papers), Cancer-related gene regulation (4 papers), COVID-19 and healthcare impacts (4 papers), Pleural and Pulmonary Diseases (4 papers), MicroRNA in disease regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). The work is most often cited by research in Cancer Research (174 citations), Molecular Biology (315 citations) and Oncology (125 citations). Muhammad Tufail has collaborated with scholars based in China, United Kingdom and Pakistan. Frequent co-authors include Canhua Jiang, Ning Li, Changxin Wu, Jia Cui, Caiyun He, Jie Liang, Hong Wu, Yuqi Huang, Md Sadique Hussain and Ning Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Molecular Cancer.

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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