M Sajgó

407 citations
25 papers · 331 · h-index 7

Impact in

Papers in

    • Chemical Synthesis and Analysis 4
    • Protein Hydrolysis and Bioactive Peptides 2
    • Photosynthetic Processes and Mechanisms 2
    • Hemoglobin structure and function 6
    • Muscle metabolism and nutrition 3

M Sajgó

24 papers receiving 281 citations

Peers

M Sajgó
Comparison fields: 5 of 69
  • Clinical Biochemistry 41
  • Biochemistry 32
  • Cell Biology 71
  • Molecular Biology 230
  • Spectroscopy 54
Replace Standish Barry with:
Standish Barry Ireland
Theodore O. Sippel United States
Cynthia E. Trueblood United States
J. Watson Canada
Elizabeth M. Furter‐Graves Switzerland
V. Holeyšovský Czechia
Eberhard Ebner Germany
Kerstin E. Stempel United States
T Baranowski Poland
S.M. Schuster United States
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Citations per field
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Citations per year

Countries citing papers authored by M Sajgó

Since Specialization
Citations

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

Fields of papers citing papers by M Sajgó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside M Sajgó, 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 Sajgó Line = papers co-authored together M Sajgó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967171
2 197153
3 197021
4 198011
5 196310
6 198110
7 19939
8 19715
9
The amino acid sequence of rabbit muscle aldolase.
19745
10 19795
11 19734
12 19743
13 19863
14 19813
15 19803
16 19733
17
The photooxidation of myoglobin.
19612
18
The N-terminal tryptic peptide of rabbit muscle aldolase.
19712
19 19672
20
Thin-layer ion-exchange chromatography on resin-coated chromatoplates. VII. Rapid determination of c-terminal sequences on the nanomole scale.
19722

About M Sajgó

M Sajgó is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Oncology and Materials Chemistry, having authored 25 papers that have together received 331 indexed citations. Recurring topics across this work include Hemoglobin structure and function (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Chemical Synthesis and Analysis (4 papers), Enzyme Structure and Function (4 papers), Peptidase Inhibition and Analysis (3 papers), Muscle metabolism and nutrition (3 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Clinical Biochemistry (41 citations), Biochemistry (32 citations), Cell Biology (71 citations), Molecular Biology (230 citations) and Spectroscopy (54 citations). M Sajgó has collaborated with scholars based in Hungary, Australia and Italy. Frequent co-authors include J. Ieuan Harris, B E Davidson, Harry F. Noller, L. Gráf, G Cseh, Erzsébet Barát, Péter Friedrich, Gy. Hajós, B. Szajáni and András Balázs. Their work appears in journals such as European Journal of Biochemistry, FEBS Letters, Journal of Molecular Biology, Nature and American Journal of Obstetrics and Gynecology.

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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