Sahar Al Seesi

1.3k citations
18 papers · 499 indexed · h-index 11
Topics
RNA modifications and cancer (7 papers)Genomics and Phylogenetic Studies (7 papers)Cancer-related molecular mechanisms research (5 papers)
Partner nations
United StatesNorwayChina

In The Last Decade

Sahar Al Seesi

18 papers receiving 483 citations

Peers

Sahar Al Seesi
Comparison fields: 5 of 76
  • Molecular Biology 319
  • Immunology 273
  • Oncology 186
  • Radiology, Nuclear Medicine and Imaging 68
  • Cancer Research 66
Replace George Yam with:
George Yam United States
Katherine Yang‐Iott United States
Grazyna Bozek United States
Julie Blasioli Australia
Tamotsu Ichiba Japan
Karin Ivarsson Sweden
Grace K. Mahowald United States
Andrew Franklin Australia
Yukie Kashima Japan
G A Koretzky United States
Sahar Al Seesi relative to George Yam United States George Yam's profile →
Citations per field
00.5×4.3×
George Yam · 1×
Citations per year

Countries citing papers authored by Sahar Al Seesi

Since Specialization
Citations

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

Fields of papers citing papers by Sahar Al Seesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sahar Al Seesi. 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 Sahar Al Seesi. The network helps show where Sahar Al Seesi may publish in the future.

Co-authorship network of co-authors of Sahar Al Seesi

This figure shows the co-authorship network connecting the top 25 collaborators of Sahar Al Seesi. A scholar is included among the top collaborators of Sahar Al Seesi 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 Sahar Al Seesi. Sahar Al Seesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 4
3 24
4 33
5 7
6 12
7 26
8 5
9 10
10 17
11 38
12 10
13 16
14 279
15
Flexible approach for novel transcript reconstruction from RNA-seq data using maximum likelihood integer programming
2
16 1
17 12
18 1

About Sahar Al Seesi

Sahar Al Seesi is a scholar working on Cancer Research, Molecular Biology and Developmental Neuroscience, having authored 18 papers that have together received 499 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Genomics and Phylogenetic Studies (7 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Immunology (273 citations), Oncology (186 citations) and Molecular Biology (319 citations). Sahar Al Seesi has collaborated with scholars based in United States, Norway and China. Frequent co-authors include Ion Măndoiu, Pramod K. Srivastava, Brian M. Baker, Jorge Duitama, Steven A. Corcelli, Tatiana Blanchard, Arpita Pawashe, John Sidney, Alessandro Sette and Cory M. Ayres. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Bioinformatics.

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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