M.J. How

662 citations
30 papers · 577 · h-index 12

Impact in

Papers in

    • Carbohydrate Chemistry and Synthesis 7
    • Organoboron and organosilicon chemistry 3
    • Pneumonia and Respiratory Infections 4
    • Nail Diseases and Treatments 3

M.J. How

30 papers receiving 483 citations

Peers

M.J. How
Comparison fields: 5 of 79
  • Organic Chemistry 193
  • Immunology and Allergy 20
  • Spectroscopy 59
  • Food Science 52
  • Public Health, Environmental and Occupational Health 85
Replace Tsunetake Sugimori with:
Tsunetake Sugimori Japan
C.P.J. Glaudemans United States
Justin M. Hettick United States
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HUGO A. MASSALDI Uruguay
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M.J. How relative to Tsunetake Sugimori Japan Tsunetake Sugimori's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.J. How

Since Specialization
Citations

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

Fields of papers citing papers by M.J. How

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside M.J. 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 M.J. How Line = papers co-authored together M.J. How links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973107
2 197785
3 197350
4 196444
5 196139
6 196835
7 196823
8 196921
9 196717
10 196917
11 196916
12 196212
13 196612
14 197212
15 19699
16 19688
17 19708
18 19718
19 19697
20 19707

About M.J. How

M.J. How is a scholar working on Organic Chemistry, Epidemiology, Cell Biology, Molecular Biology and Immunology and Allergy, having authored 30 papers that have together received 577 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (12 papers), Carbohydrate Chemistry and Synthesis (7 papers), Pneumonia and Respiratory Infections (4 papers), Proteoglycans and glycosaminoglycans research (4 papers), Organoboron and organosilicon chemistry (3 papers), Nail Diseases and Treatments (3 papers), Occupational exposure and asthma (3 papers) and Allergic Rhinitis and Sensitization (2 papers). The work is most often cited by research in Organic Chemistry (193 citations), Immunology and Allergy (20 citations), Spectroscopy (59 citations), Food Science (52 citations) and Public Health, Environmental and Occupational Health (85 citations). M.J. How has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include M. Stacey, Eric F. Mooney, J. S. Brimacombe, B.F.J. Goodwin, Susan Anne Barker, C. N. D. Cruickshank, P.J. Somers, J. Michael Williams, DENIS R. STANWORTH and Michael Heidelberger. Their work appears in journals such as Carbohydrate Research, Nature, Clinical & Experimental Allergy, Clinica Chimica Acta and Medical Mycology.

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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