Hamad Dheir

1.0k citations
54 papers · 387 · h-index 12

Impact in

  • Nephrology top 10%
    • Dialysis and Renal Disease Management
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • COVID-19 Clinical Research Studies 27
    • SARS-CoV-2 and COVID-19 Research 10
    • Long-Term Effects of COVID-19 12

Hamad Dheir

50 papers receiving 373 citations

Peers

Hamad Dheir
Comparison fields: 5 of 76
  • Nephrology 65
  • Infectious Diseases 166
  • Transplantation 24
  • Critical Care and Intensive Care Medicine 20
  • Neurology 54
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Olynka Vega‐Vega Mexico
Srikanth Naramala United States
Viyaasan Mahalingasivam United Kingdom
Karl Hock United States
CB Leung Hong Kong
Annachiara Ferrari Italy
Kévin Louis France
Diego Martínez‐Urbistondo Spain
Jordi Ara Spain
Francesco Salinaro Italy
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Citations per field
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Citations per year

Countries citing papers authored by Hamad Dheir

Since Specialization
Citations

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

Fields of papers citing papers by Hamad Dheir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 201332
3 202032
4 202021
5 202016
6 202215
7 202215
8 202015
9 201714
10 202012
11 201212
12 202211
13 201810
14 201110
15 202010
16 20219
17 20119
18 20209
19 20219
20 20208

About Hamad Dheir

Hamad Dheir is a scholar working on Infectious Diseases, Neurology, Surgery, Nephrology and Pulmonary and Respiratory Medicine, having authored 54 papers that have together received 387 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (27 papers), Long-Term Effects of COVID-19 (12 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Renal Transplantation Outcomes and Treatments (6 papers), Organ Donation and Transplantation (5 papers), Renal and Vascular Pathologies (4 papers), COVID-19 epidemiological studies (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Nephrology (65 citations), Infectious Diseases (166 citations), Transplantation (24 citations), Critical Care and Intensive Care Medicine (20 citations) and Neurology (54 citations). Hamad Dheir has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Selçuk Yaylacı, Savaş Sipahi, Oğuz Karabay, Havva Kocayiğit, Ertuğrul Güçlü, Ceyhun Varım, Gülay Aşçı, Hüseyin Töz, Alı Fuat Erdem and Fatih Kırçelli. Their work appears in journals such as Clinical Nephrology, Vaccine, Academic Radiology, BMC Nephrology and Acta Radiologica.

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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