Daniel E. Leisman

31 papers receiving 1.1k citations

Daniel E. Leisman's Hit Papers

Cytokine elevation in severe and critical COVID-19: a rapid systematic review, meta-analysis, and comparison with other inflammatory syndromes 2020 · 559 citations
5590+2+4Years since publication100200300400500

Peers

Daniel E. Leisman
Comparison fields: 5 of 84
  • Critical Care and Intensive Care Medicine 122
  • Infectious Diseases 335
  • Nephrology 87
  • Neurology 170
  • Epidemiology 304
Replace Andreas Kortgen with:
Andreas Kortgen Germany
Kirsten N. Kangelaris United States
Julio Badié France
Ragheb Assaly United States
Johannes Winning Germany
Anne M. Drewry United States
Madhumita Premkumar India
Peter C. Hou United States
Naïke Bigé France
Simon Lambden United Kingdom
Daniel E. Leisman relative to Andreas Kortgen Germany Andreas Kortgen's profile →
Citations per field
00.5×1.5×1.9×
Andreas Kortgen · 1×
Citations per year

Countries citing papers authored by Daniel E. Leisman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Leisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cytokine elevation in severe and critical COVID-19: a rapid systematic review, meta-analysis, and comparison with other inflammatory syndromes
Hit paper breakdown →
2020559
2 201680
3 201663
4 201754
5 201751
6 202044
7 201735
8 201933
9 201824
10 201924
11 202223
12 201621
13 201920
14 202017
15 202416
16 201312
17 202311
18 201611
19 201410
20 20196

About Daniel E. Leisman

Daniel E. Leisman is a scholar working on Epidemiology, Nephrology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (14 papers), COVID-19 Clinical Research Studies (4 papers), Blood Pressure and Hypertension Studies (3 papers), Acute Kidney Injury Research (3 papers), Machine Learning in Healthcare (2 papers), Electrolyte and hormonal disorders (2 papers), Renal function and acid-base balance (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (122 citations), Infectious Diseases (335 citations), Nephrology (87 citations), Neurology (170 citations) and Epidemiology (304 citations). Daniel E. Leisman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Clifford S. Deutschman, Matthew Taylor, Carolyn S. Calfee, Pratik Sinha, Alexandre V. Hirayama, Rachel Pinotti, Lukas Ronner, Michael O. Harhay, Cameron J. Turtle and Matthieu Legrand. Their work appears in journals such as Critical Care Medicine, Critical Care, Annals of Emergency Medicine, Circulation Cardiovascular Quality and Outcomes and Shock.

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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