Daniel Blum

441 citations
12 papers · 274 · h-index 7

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

    • Acute Kidney Injury Research 3
    • Dialysis and Renal Disease Management 3
    • Renal Diseases and Glomerulopathies 2
    • Muscle and Compartmental Disorders 1
    • Hemodynamic Monitoring and Therapy 1

Daniel Blum

12 papers receiving 270 citations

Peers

Daniel Blum
Comparison fields: 5 of 48
  • Transplantation 50
  • Nephrology 95
  • Infectious Diseases 69
  • Critical Care and Intensive Care Medicine 14
  • Neurology 23
Replace Shyam Bihari Bansal with:
Shyam Bihari Bansal India
Sérgio Gaião Portugal
Alícia Molina‐Andújar Spain
Vasanthi Balaraman United States
G. Algarra Spain
Rakesh Gulati United States
Urmila Anandh India
Somratai Vadcharavivad Thailand
Isabel Pérez-Flores Spain
Decenzio Bonucchi Italy
Daniel Blum relative to Shyam Bihari Bansal India Shyam Bihari Bansal's profile →
Citations per field
00.5×2.6×
Shyam Bihari Bansal · 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

12 of 12 papers shown
#Work
1 2020124
2 201957
3 201926
4 201914
5 201913
6 202112
7 201512
8 20194
9 20204
10 20223
11 20193
12 20202

About Daniel Blum

Daniel Blum is a scholar working on Nephrology, Surgery, Infectious Diseases, Genetics and Critical Care and Intensive Care Medicine, having authored 12 papers that have together received 274 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (3 papers), Dialysis and Renal Disease Management (3 papers), Renal Diseases and Glomerulopathies (2 papers), Pregnancy and Medication Impact (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), COVID-19 Clinical Research Studies (1 paper), Muscle and Compartmental Disorders (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Transplantation (50 citations), Nephrology (95 citations), Infectious Diseases (69 citations), Critical Care and Intensive Care Medicine (14 citations) and Neurology (23 citations). Daniel Blum has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include William Beaubien‐Souligny, Ron Wald, Samuel A. Silver, Ziv Harel, Alejandro Meraz-Muñoz, Shai Har-El, Teruko Kishibe, Prakesh S. Shah, Josée Bouchard and Abeer Madbouly. Their work appears in journals such as Canadian Journal of Kidney Health and Disease, Kidney International Reports, Canadian Medical Association Journal, American Journal of Kidney Diseases and Journal of Critical Care.

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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