Tamer Sallam

3.4k total citations · 1 hit paper
40 papers, 1.9k citations indexed

About

Tamer Sallam is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Tamer Sallam has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Surgery and 12 papers in Cancer Research. Recurrent topics in Tamer Sallam's work include Cancer-related molecular mechanisms research (9 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cholesterol and Lipid Metabolism (5 papers). Tamer Sallam is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Lipoproteins and Cardiovascular Health (5 papers) and Cholesterol and Lipid Metabolism (5 papers). Tamer Sallam collaborates with scholars based in United States, Germany and Czechia. Tamer Sallam's co-authors include Peter Tontonoz, Jaspreet Sandhu, Jianjun Chen, Ryan L. Kan, Su‐Jeong Kim, Rafael de Cabo, Junxiang Wan, Andrea L. Hevener, Alejandro Martín‐Montalvo and Brian G. Drew and has published in prestigious journals such as Nature, Cell and Circulation.

In The Last Decade

Tamer Sallam

40 papers receiving 1.9k citations

Hit Papers

The Mitochondrial-Derived Peptide MOTS-c Promotes Metabol... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Tamer Sallam
Comparison fields: 5 of 104
  • Molecular Biology 1.1k
  • Cancer Research 633
  • Physiology 362
  • Surgery 242
  • Epidemiology 241
Replace Xueyuan Bai with:
Xueyuan Bai China
Motoyoshi Endo Japan
Bing-Rong Liu China
Qi‐Qun Tang China
Maomao Zhang China
Sanjeet Patel United States
Johanna K. DiStefano United States
Yan He China
Sverre Holm Norway
Cristina Rius Spain
Xueyuan Bai China View profile →
Citations per field, relative to Tamer Sallam
Tamer Sallam · 1×
Citations per year, relative to Tamer Sallam
Tamer Sallam · 1×

Countries citing papers authored by Tamer Sallam

Since Specialization
Citations

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

Fields of papers citing papers by Tamer Sallam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamer Sallam

This figure shows the co-authorship network connecting the top 25 collaborators of Tamer Sallam. A scholar is included among the top collaborators of Tamer Sallam 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 Tamer Sallam. Tamer Sallam 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 1
2 3
3 4
4 13
5 3
6 70
7 7
8 183
9 34
10 11
11 13
12 1
13 143
14 45
15
The Mitochondrial-Derived Peptide MOTS-c Promotes Metabolic Homeostasis and Reduces Obesity and Insulin Resistance breakdown →
511
16 16
17 29
18 2
19 6
20 72

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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