David Haase

47 papers receiving 2.1k citations

David Haase's Hit Papers

Measuring the Functional Impact of Fatigue: Initial Validation of the Fatigue Impact Scale 1994 · 1.2k citations
1.2k0+10+21Years since publication4008001.2k

Peers

David Haase
Comparison fields: 5 of 128
  • Pathology and Forensic Medicine 507
  • Hepatology 147
  • Psychiatry and Mental health 263
  • Epidemiology 351
  • Virology 49
Replace Philip McCloud with:
Philip McCloud Australia
Sarah Thomas United States
Silvia M. Montano United States
Nete Munk Nielsen Denmark
Richard L. Kradin United States
A. Alanen Finland
Ben Z. Katz United States
Laurie C. Miller United States
Lee Jc Taiwan
Robert Bjerknes Norway
David Haase relative to Philip McCloud Australia Philip McCloud's profile →
Citations per field
00.5×6.3×
Philip McCloud · 1×
Citations per year

Countries citing papers authored by David Haase

Since Specialization
Citations

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

Fields of papers citing papers by David Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring the Functional Impact of Fatigue: Initial Validation of the Fatigue Impact Scale
Hit paper breakdown →
19941228
2 1987116
3 200387
4 202077
5 200974
6 200668
7 201361
8 199751
9 201446
10 200442
11 201134
12 201330
13 201427
14 200424
15 199022
16 201221
17 201618
18 201317
19 201016
20 201816

About David Haase

David Haase is a scholar working on Epidemiology, Infectious Diseases, Immunology, Ecology and Microbiology, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Parasite Biology and Host Interactions (5 papers), HIV/AIDS Research and Interventions (4 papers), Influenza Virus Research Studies (4 papers), Reproductive tract infections research (4 papers), Aquaculture disease management and microbiota (4 papers), Syphilis Diagnosis and Treatment (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (507 citations), Hepatology (147 citations), Psychiatry and Mental health (263 citations), Epidemiology (351 citations) and Virology (49 citations). David Haase has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Thomas J. Marrie, Walter F. Schlech, John D. Fisk, Paul G. Ritvo, Thorsten B. H. Reusch, Martin Kalbe, Olivia Roth, Jörn P. Scharsack, Robert Tremaine and Mary MacNeil. Their work appears in journals such as Sexually Transmitted Diseases, Clinical Infectious Diseases, PLoS ONE, HIV Clinical Trials and Journal of Adolescent Health.

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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