M. F. Perutz

25.5k citations
185 papers · 19.3k indexed · 9 hit papers · h-index 68
Topics
Hemoglobin structure and function (117 papers)Hemoglobinopathies and Related Disorders (48 papers)Neonatal Health and Biochemistry (43 papers)

In The Last Decade

M. F. Perutz

181 papers receiving 17.8k citations

Hit Papers

Stereochemistry of Cooperative Effects in Haemoglobin: Ha...19602026198220041970196019681984198850010001.5k2.0k

Peers

M. F. Perutz
Comparison fields: 5 of 180
  • Cell Biology 11.6k
  • Molecular Biology 11.2k
  • Physiology 4.7k
  • Pediatrics, Perinatology and Child Health 3.8k
  • Genetics 3.2k
Replace Maurizio Brunori with:
Maurizio Brunori Italy
Jeffries Wyman Italy
John S. Olson United States
Quentin Gibson United States
William A. Eaton United States
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Kevin M. Smith United States
Stephen G. Sligar United States
G.N. Phillips United States
Charles Tanford United States
M. F. Perutz relative to Maurizio Brunori Italy Maurizio Brunori's profile →
Citations per field
00.5×1.5×2.2×
Maurizio Brunori · 1×
Citations per year

Countries citing papers authored by M. F. Perutz

Since Specialization
Citations

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

Fields of papers citing papers by M. F. Perutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. F. Perutz

This figure shows the co-authorship network connecting the top 25 collaborators of M. F. Perutz. A scholar is included among the top collaborators of M. F. Perutz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. F. Perutz. M. F. Perutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 1
3 8
4 111
5 13
6 130
7 7
8 155
9 109
10 3
11
Haemoglobin and myoglobin
99
12 1
13 289
14 71
15 50
16 156
17 7
18 42
19 3
20 72

About M. F. Perutz

M. F. Perutz is a scholar working on Cell Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 185 papers that have together received 19.3k indexed citations. Recurring topics across this work include Hemoglobin structure and function (117 papers), Hemoglobinopathies and Related Disorders (48 papers) and Neonatal Health and Biochemistry (43 papers). The work is most often cited by research in Cell Biology (11.6k citations), Genetics (3.2k citations) and Pediatrics, Perinatology and Child Health (3.8k citations). M. F. Perutz has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include G. Fermi, Michael Levitt, Hilary Muirhead, Boaz Shaanan, H. Lehmann, Claire Poyart, H. Muirhead, H.C. Watson, Sanford R. Simon and Michael G. Rossmann. Their work appears in journals such as Nature, Science and Cell.

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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