Shareef Syed

1.0k citations
44 papers · 409 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Renal Transplantation Outcomes and Treatments

Papers in

Shareef Syed

34 papers receiving 404 citations

Peers

Shareef Syed
Comparison fields: 5 of 71
  • Hepatology 139
  • Transplantation 41
  • Surgery 141
  • Rehabilitation 20
  • Public Health, Environmental and Occupational Health 46
Replace Gaëlle Dörr with:
Gaëlle Dörr France
Bynvant Sandhu United Kingdom
Florian Iberer Austria
Jean Richer France
Mohammed F. Shaheen Saudi Arabia
G. Cavallari Italy
Shinichiro Ono Japan
T. Steinmüller Germany
M. Webb United States
Katrina Gauntt United States
Shareef Syed relative to Gaëlle Dörr France Gaëlle Dörr's profile →
Citations per field
00.5×6.7×
Gaëlle Dörr · 1×
Citations per year

Countries citing papers authored by Shareef Syed

Since Specialization
Citations

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

Fields of papers citing papers by Shareef Syed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201162
2 201355
3 201241
4 202132
5 201823
6 201921
7 202118
8 202513
9 201813
10 202012
11 201912
12 202011
13 20229
14 20149
15 20228
16 20208
17 20236
18 20206
19 20186
20 20225

About Shareef Syed

Shareef Syed is a scholar working on Surgery, Public Health, Environmental and Occupational Health, Hepatology, Physiology and Transplantation, having authored 44 papers that have together received 409 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (11 papers), Surgical Simulation and Training (9 papers), Innovations in Medical Education (6 papers), Simulation-Based Education in Healthcare (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Liver Disease and Transplantation (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Organ Donation and Transplantation (4 papers). The work is most often cited by research in Hepatology (139 citations), Transplantation (41 citations), Surgery (141 citations), Rehabilitation (20 citations) and Public Health, Environmental and Occupational Health (46 citations). Shareef Syed has collaborated with scholars based in United States, United Kingdom and Uganda. Frequent co-authors include Neil W. Pearce, Francesco Di Fabio, Mohammad Abu Hilal, Garrett R. Roll, Mabel Teng, John Primrose, Ahmed Magan, Mohamed H. Ahmed, Khalid A. Osman and Chris E. Freise. Their work appears in journals such as Transplantation, The American Journal of Surgery, American Journal of Transplantation, Liver Transplantation and Surgical Endoscopy.

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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