S. Farid

638 citations
14 papers · 506 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Organ Transplantation Techniques and Outcomes 2
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Liver Disease and Transplantation 2

S. Farid

13 papers receiving 499 citations

Peers

S. Farid
Comparison fields: 5 of 53
  • Hepatology 107
  • Oncology 267
  • Transplantation 19
  • Cancer Research 43
  • Critical Care and Intensive Care Medicine 10
Replace Yuki Imaoka with:
Yuki Imaoka Japan
D. Pinelli Italy
Jean‐Yves Mabrut France
Gun Hyung Na South Korea
Tyler Sandow United States
Ève Simoneau Canada
A.P. Barreiros Germany
Bo‐Hyun Jung South Korea
Chih‐Hsien Cheng Taiwan
Ivan Capobianco Germany
S. Farid relative to Yuki Imaoka Japan Yuki Imaoka's profile →
Citations per field
00.5×11.8×
Yuki Imaoka · 1×
Citations per year

Countries citing papers authored by S. Farid

Since Specialization
Citations

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

Fields of papers citing papers by S. Farid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008353
2 201328
3 201326
4 201224
5 201520
6 200715
7 200912
8 201012
9 20116
10 20134
11 20163
12 20222
13 20231
14 20250

About S. Farid

S. Farid is a scholar working on Surgery, Hepatology, Oncology, Cardiology and Cardiovascular Medicine and Transplantation, having authored 14 papers that have together received 506 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Liver Disease and Transplantation (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Cardiovascular Issues in Pregnancy (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Hepatology (107 citations), Oncology (267 citations), Transplantation (19 citations), Cancer Research (43 citations) and Critical Care and Intensive Care Medicine (10 citations). S. Farid has collaborated with scholars based in United Kingdom, Iran and United States. Frequent co-authors include Giles J. Toogood, Rajendra Prasad, Dhanny Gomez, J. Peter A. Lodge, Hafiz Malik, Alastair L. Young, Amir Sepehripour, Rajesh Shah, Alan White and Niaz Ahmad. Their work appears in journals such as Interactive Cardiovascular and Thoracic Surgery, HPB, European Journal of Surgical Oncology, Annals of Surgical Oncology and British journal of surgery.

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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