Daniel Blum
Impact in
- Transplantation top 5%
- 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
- Surgery 2
- Muscle and Compartmental Disorders 1
- Hemodynamic Monitoring and Therapy 1
- Co-authors
- William Beaubien‐Souligny (9 shared papers)Ron Wald (8 shared papers)Samuel A. Silver (7 shared papers)Ziv Harel (5 shared papers)Alejandro Meraz-Muñoz (2 shared papers)Shai Har-El (1 shared paper)Prakesh S. Shah (1 shared paper)Teruko Kishibe (1 shared paper)
- Journals
- Kidney International Reports (2 papers)Canadian Journal of Kidney Health and Disease (2 papers)American Journal of Kidney Diseases (1 paper)Journal of Critical Care (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Daniel Blum
12 papers receiving 266 citations
Peers
Comparison fields: 5 of 48
- Transplantation 49
- Nephrology 94
- Infectious Diseases 67
- Critical Care and Intensive Care Medicine 13
- Neurology 23
Countries citing papers authored by Daniel Blum
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2019 | 56 | |
| 3 | 2019 | 26 | |
| 4 | 2019 | 14 | |
| 5 | 2019 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2015 | 12 | |
| 8 | 2019 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 2 |
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 270 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 (49 citations), Nephrology (94 citations), Infectious Diseases (67 citations), Critical Care and Intensive Care Medicine (13 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, Prakesh S. Shah, Teruko Kishibe, Kathryn Tinckam and Marilyn Marrari. Their work appears in journals such as Kidney International Reports, Canadian Journal of Kidney Health and Disease, American Journal of Kidney Diseases, Journal of Critical Care and Clinical 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.