M. Haugh

22 papers receiving 1.3k citations

Peers

M. Haugh
Comparison fields: 5 of 118
  • Internal Medicine 239
  • Psychiatry and Mental health 381
  • Complementary and alternative medicine 154
  • Statistics, Probability and Uncertainty 112
  • Complementary and Manual Therapy 34
Replace Suzanne M. Lloyd with:
Suzanne M. Lloyd United Kingdom
Florent Boutitie France
Frida Emanuelsson Denmark
Edwin Chan Singapore
Noam Y. Kirson United States
C. Oliver Kennedy United Kingdom
Mark Belger United Kingdom
Julia E. Vertrees United States
Robert G. Badgett United States
Gero Langer Germany
M. Haugh relative to Suzanne M. Lloyd United Kingdom Suzanne M. Lloyd's profile →
Citations per field
00.5×4.5×
Suzanne M. Lloyd · 1×
Citations per year

Countries citing papers authored by M. Haugh

Since Specialization
Citations

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

Fields of papers citing papers by M. Haugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
[The problem of therapeutic efficacy indices. 3. Comparison of the indices and their use].
2000391
2 1992270
3 2000175
4 2004144
5 2000117
6 1992116
7 199750
8 200232
9 200524
10
Critical reading of the meta-analysis of clinical trials.
199520
11 199615
12 200013
13 199112
14 19959
15 19935
16 20035
17
Level of evidence as a future gold standard for the content quality of health resources on the internet.
20034
18 20242
19 19992
20
[The problem of therapeutic efficacy indices. 2. Description of the indices].
19992

About M. Haugh

M. Haugh is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, General Health Professions, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Meta-analysis and systematic reviews (3 papers), Clinical practice guidelines implementation (2 papers), Health Literacy and Information Accessibility (2 papers), Medical Research and Practices (2 papers), Pharmaceutical industry and healthcare (2 papers) and Dialysis and Renal Disease Management (2 papers). The work is most often cited by research in Internal Medicine (239 citations), Psychiatry and Mental health (381 citations), Complementary and alternative medicine (154 citations), Statistics, Probability and Uncertainty (112 citations) and Complementary and Manual Therapy (34 citations). M. Haugh has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Michel Cucherat, Alain Leizorovicz, J P Boissel, Jean‐Pierre Boissel, François Chapuis, Meyer‐Michel Samama, J. P. Boissel, Patrice Nony, Michael D. Gooch and Jean‐Paul Boissel. Their work appears in journals such as Nephrology Dialysis Transplantation, European Journal of Clinical Pharmacology, Methods of Information in Medicine, British journal of surgery and Annals of Oncology.

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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