R. Hasz

722 citations
12 papers · 520 indexed · h-index 9

R. Hasz

12 papers receiving 511 citations

Peers

R. Hasz
Comparison fields: 5 of 58
  • Transplantation 324
  • Hepatology 79
  • Public Health, Environmental and Occupational Health 251
  • Nephrology 59
  • Surgery 278
Replace Tainá Veras de Sandes‐Freitas with:
Tainá Veras de Sandes‐Freitas Brazil
Aimee K. Sundberg United States
Graeme Russ Australia
Daniel Abramovicz Belgium
Maria Ajaimy United States
Ashish Sharma India
Richard Ruiz United States
Timothy A. Horwedel United States
Domingo Casadei Argentina
Jennifer D. Motter United States
R. Hasz relative to Tainá Veras de Sandes‐Freitas Brazil Tainá Veras de Sandes‐Freitas's profile →
Citations per field
00.5×3.3×
Tainá Veras de Sandes‐Freitas · 1×
Citations per year

Countries citing papers authored by R. Hasz

Since Specialization
Citations

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

Fields of papers citing papers by R. Hasz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 202118
2 20181
3 201751
4 201614
5 2015105
6 201577
7 201534
8 201445
9 201427
10 20142
11 2009142
12 20054

About R. Hasz

R. Hasz is a scholar working on Transplantation, Hepatology, Public Health, Environmental and Occupational Health, Modeling and Simulation and Surgery, having authored 12 papers that have together received 520 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Organ Transplantation Techniques and Outcomes (7 papers), Organ Donation and Transplantation (6 papers), Renal and Vascular Pathologies (2 papers), Transplantation: Methods and Outcomes (2 papers), Liver Disease and Transplantation (1 paper), Hepatitis C virus research (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Transplantation (324 citations), Hepatology (79 citations), Public Health, Environmental and Occupational Health (251 citations), Nephrology (59 citations) and Surgery (278 citations). R. Hasz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Peter P. Reese, Francis L. Weng, Isaac E. Hall, Chirag R. Parikh, Mona D. Doshi, Bernd Schröppel, Heather Thiessen‐Philbrook, James F. Burdick, Emily A. Blumberg and Lewis Teperman. Their work appears in journals such as American Journal of Transplantation, Transplantation, The Journal of Heart and Lung Transplantation, Clinical Journal of the American Society of Nephrology and Journal of the American Society of Nephrology.

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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