Mohammad Ali

23 papers receiving 1.1k citations

Mohammad Ali's Hit Papers

Multifunctional intracellular matrix metalloproteinases: implications in disease 2021 · 238 citations
2380+1+3Years since publication50100150200

Peers

Mohammad Ali
Comparison fields: 5 of 113
  • Cancer Research 343
  • Cardiology and Cardiovascular Medicine 338
  • Emergency Medicine 89
  • Internal Medicine 33
  • Oncology 209
Replace Nagato Sato with:
Nagato Sato Japan
Aneta Gandjeva United States
Olof Gidlöf Sweden
Hans‐Reiner Figulla Germany
Ina Wagner Germany
Alessandro Salvi Italy
Gerhard Bauriedel Germany
Linda Beckers Netherlands
Carla Jennewein Germany
Cristina Rius Spain
Mohammad Ali relative to Nagato Sato Japan Nagato Sato's profile →
Citations per field
00.5×8.5×
Nagato Sato · 1×
Citations per year

Countries citing papers authored by Mohammad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multifunctional intracellular matrix metalloproteinases: implications in disease
Hit paper breakdown →
2021238
2 2009211
3 2010153
4 2020125
5 199377
6 201164
7 201159
8 202241
9 201235
10 201326
11 201823
12 201523
13 201619
14 202117
15 20139
16 20136
17 20226
18 20105
19 20234
20 20161

About Mohammad Ali

Mohammad Ali is a scholar working on Molecular Biology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Surgery, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (11 papers), Signaling Pathways in Disease (8 papers), Peptidase Inhibition and Analysis (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Neonatal and fetal brain pathology (2 papers), PARP inhibition in cancer therapy (2 papers), Chromosomal and Genetic Variations (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Cancer Research (343 citations), Cardiology and Cardiovascular Medicine (338 citations), Emergency Medicine (89 citations), Internal Medicine (33 citations) and Oncology (209 citations). Mohammad Ali has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Richard Schulz, Wesam Bassiouni, Arulmozhi D. Kandasamy, Sarah A. Spinler, A. Chow, Xiaohu Fan, Woo Jung Cho, Henk Granzier, Zamaneh Kassiri and Bryan D. Hudson. Their work appears in journals such as FEBS Journal, Trends in Cardiovascular Medicine, International Journal of Molecular Sciences, Cardiovascular Research and Cell 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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