Sariat Ibrahim

687 citations
8 papers · 562 · h-index 6

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Cancer-related gene regulation
    • Extracellular vesicles in disease

Papers in

    • Extracellular vesicles in disease 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Cancer-related molecular mechanisms research 2
    • MicroRNA in disease regulation 1

Sariat Ibrahim

8 papers receiving 559 citations

Peers

Sariat Ibrahim
Comparison fields: 5 of 45
  • Cancer Research 422
  • Molecular Biology 407
  • Surgery 71
  • Endocrinology 6
  • Epidemiology 36
Replace Suqing Li with:
Suqing Li China
Dominik Jungen Germany
Julia Humberg Germany
Jianmei Zhao China
Orit Zion Israel
Sariat Ibrahim relative to Suqing Li China Suqing Li's profile →
Citations per field
00.5×1.5×2.1×
Suqing Li · 1×
Citations per year

Countries citing papers authored by Sariat Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Sariat Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2013193
2 2013183
3 2016124
4 201730
5 201717
6 20118
7 20175
8 20162

About Sariat Ibrahim

Sariat Ibrahim is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Oncology, having authored 8 papers that have together received 562 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), Esophageal Cancer Research and Treatment (1 paper), Extracellular vesicles in disease (1 paper), Plant and Fungal Interactions Research (1 paper), MicroRNA in disease regulation (1 paper), Helicobacter pylori-related gastroenterology studies (1 paper), Eosinophilic Esophagitis (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cancer Research (422 citations), Molecular Biology (407 citations), Surgery (71 citations), Endocrinology (6 citations) and Epidemiology (36 citations). Sariat Ibrahim has collaborated with scholars based in United States and China. Frequent co-authors include Yulan Cheng, John Abraham, Stephen J. Meltzer, Jee Hoon Song, Tushar D. Bhagat, Amit Verma, Wenjing Wu, Yiting Yu, Xiquan Ke and Zhenguo Sun. Their work appears in journals such as Oncogene, Cancer, Gastroenterology, Neoplasia and Gut.

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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