Daniel Blum

487 citations
17 papers · 334 · h-index 9

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Dialysis and Renal Disease Management
    • Renal Diseases and Glomerulopathies

Papers in

Daniel Blum

14 papers receiving 322 citations

Peers

Daniel Blum
Comparison fields: 5 of 38
  • Transplantation 55
  • Nephrology 153
  • Infectious Diseases 71
  • Cardiology and Cardiovascular Medicine 35
  • Critical Care and Intensive Care Medicine 6
Replace Damjan Kovač with:
Damjan Kovač Slovenia
Numan Görgülü Türkiye
Frédérique Vecina France
Selma Alagöz Türkiye
Giuseppina Pessolano Italy
Elen Almeida Romão Brazil
Esther N. M. de Rooij Netherlands
Isabelle Kazes France
Dinesh N. Gera India
Woo Yeong Park South Korea
Daniel Blum relative to Damjan Kovač Slovenia Damjan Kovač's profile →
Citations per field
00.5×2×3×3.9×
Damjan Kovač · 1×
Citations per year

Countries citing papers authored by Daniel Blum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Blum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020141
2 201963
3 201929
4 201916
5 201514
6 202414
7 202514
8 201913
9 202113
10 20194
11 20204
12 20193
13 20223
14 20202
15 20181
16 20250
17 20250

About Daniel Blum

Daniel Blum is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Health Information Management, Transplantation and Geriatrics and Gerontology, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (8 papers), Atrial Fibrillation Management and Outcomes (3 papers), Acute Kidney Injury Research (3 papers), Healthcare Quality and Management (2 papers), Renal Transplantation Outcomes and Treatments (1 paper), Ultrasound in Clinical Applications (1 paper), Innovations in Medical Education (1 paper) and Delphi Technique in Research (1 paper). The work is most often cited by research in Transplantation (55 citations), Nephrology (153 citations), Infectious Diseases (71 citations), Cardiology and Cardiovascular Medicine (35 citations) and Critical Care and Intensive Care Medicine (6 citations). Daniel Blum has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Ron Wald, William Beaubien‐Souligny, Samuel A. Silver, Ziv Harel, Alejandro Meraz-Muñoz, Prakesh S. Shah, Teruko Kishibe, Kathryn J. Tinckam, Loay Kontar and André Yvan Denault. Their work appears in journals such as Canadian Journal of Kidney Health and Disease, Kidney International Reports, Kidney Medicine, American Journal of Kidney Diseases 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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