Jacques How

1.3k citations
49 papers · 899 indexed · h-index 19

Jacques How

45 papers receiving 839 citations

Peers

Jacques How
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 516
  • Pathology and Forensic Medicine 156
  • Genetics 198
  • Immunology 102
  • Rheumatology 67
Replace Léa Maria Zanini Maciel with:
Léa Maria Zanini Maciel Brazil
Hye In Kim South Korea
Jordi Mesa Spain
Misa Imaizumi Japan
Carlos Benbassat Israel
Paul Ryan United Kingdom
Fady Hannah‐Shmouni United States
Angelos E. Papatestas United States
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Jacques How relative to Léa Maria Zanini Maciel Brazil Léa Maria Zanini Maciel's profile →
Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Jacques How

Since Specialization
Citations

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

Fields of papers citing papers by Jacques How

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201443
2 201113
3 201136
4 200933
5 200931
6 200411
7 200167
8
The Republic of Singapore Navy's Scopoderm TTS study: results after 2,200 man-days at sea.
19889
9 198852
10 19884
11 198720
12 198648
13
Serum levels of pregnancy associated alpha 2-glycoprotein (alpha 2-PAG) during pregnancy in autoimmune thyroid disease: relationship to disease activity.
19851
14 19822
15 198221
16 19790
17 197913
18 197719
19 19773
20 19764

About Jacques How

Jacques How is a scholar working on Endocrinology, Diabetes and Metabolism, Emergency Medicine, Genetics, Pathology and Forensic Medicine and Rheumatology, having authored 49 papers that have together received 899 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (13 papers), Thyroid Disorders and Treatments (10 papers), Thyroid and Parathyroid Surgery (6 papers), Ophthalmology and Eye Disorders (5 papers), Vasculitis and related conditions (5 papers), Restraint-Related Deaths (4 papers), Diabetes and associated disorders (4 papers) and Cardiovascular and Diving-Related Complications (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (516 citations), Pathology and Forensic Medicine (156 citations), Genetics (198 citations), Immunology (102 citations) and Rheumatology (67 citations). Jacques How has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include P. D. Bewsher, Jack R. Wall, Yuji Hiromatsu, Roger Tabah, Mario Salvi, Hiroshi Fukazawa, R. W. Strachan, Elliot J. Mitmaker, Duncan J. Topliss and Mark P. Lewis. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Obstetrics & Gynecology and Reproductive Biology, Clinical Endocrinology, Endocrine Practice and Surgery.

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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