Daniel H. Katz

3.5k citations
46 papers · 1.9k · 1 hit paper · h-index 19

Impact in

Papers in

Daniel H. Katz

39 papers receiving 1.9k citations

Daniel H. Katz's Hit Papers

Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction 2014 · 732 citations
7320+4+8Years since publication200400600

Peers

Daniel H. Katz
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 989
  • Health Informatics 55
  • Health Information Management 66
  • Nephrology 68
  • Endocrinology, Diabetes and Metabolism 150
Replace Quinn S. Wells with:
Quinn S. Wells United States
Justin L. Grodin United States
Atif Qasim United States
Xavier Rosselló Spain
Peter Moritz Becher Germany
Steven J.R. Meex Netherlands
Evangelos K. Oikonomou United States
Usman Baber United States
Wouter Ouwerkerk Netherlands
Offer Amir Israel
Daniel H. Katz relative to Quinn S. Wells United States Quinn S. Wells's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel H. Katz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel H. Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Phenomapping for Novel Classification of Heart Failure With Preserved Ejection Fraction
Hit paper breakdown →
2014732
2 2013157
3 2004152
4 2014134
5 2022102
6 201474
7 201373
8 201366
9 201763
10 202146
11 201536
12 198032
13 202130
14 202028
15 201425
16 201924
17 202320
18 202219
19 201419
20 201518

About Daniel H. Katz

Daniel H. Katz is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Muscle metabolism and nutrition (4 papers), Heart Failure Treatment and Management (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Adipose Tissue and Metabolism (3 papers), Cardiac Imaging and Diagnostics (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (989 citations), Health Informatics (55 citations), Health Information Management (66 citations), Nephrology (68 citations) and Endocrinology, Diabetes and Metabolism (150 citations). Daniel H. Katz has collaborated with scholars based in United States, Singapore and Nepal. Frequent co-authors include Sanjiv J. Shah, Rahul C. Deo, Michael A. Burke, Senthil Selvaraj, Mihai Gheorghiade, Clyde W. Yancy, Robert O. Bonow, Chiang‐Ching Huang, Lauren Beussink‐Nelson and Andrew J. Sauer. Their work appears in journals such as Circulation, The American Journal of Cardiology, Heart Failure Clinics, Circulation Research and Annals of Internal Medicine.

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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