M.L. Speranza

571 citations
17 papers · 475 · h-index 9

Impact in

  • Biochemistry top 10%
    • Amino Acid Enzymes and Metabolism
    • Protein Structure and Dynamics
    • Biochemical and Molecular Research
    • Microbial Metabolic Engineering and Bioproduction
    • Metabolism, Diabetes, and Cancer

Papers in

    • Protein Structure and Dynamics 4
    • Metabolomics and Mass Spectrometry Studies 3
    • Metabolism, Diabetes, and Cancer 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Enzyme Structure and Function 7

M.L. Speranza

17 papers receiving 459 citations

Peers

M.L. Speranza
Comparison fields: 5 of 71
  • Biochemistry 74
  • Molecular Biology 327
  • Clinical Biochemistry 24
  • Cell Biology 50
  • Physiology 13
Replace Martin Rachmeler with:
Martin Rachmeler United States
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R. Collins Sweden
Dorothy E. Schumm United States
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Citations per field
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Citations per year

Countries citing papers authored by M.L. Speranza

Since Specialization
Citations

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

Fields of papers citing papers by M.L. Speranza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M.L. Speranza, 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.L. Speranza Line = papers co-authored together M.L. Speranza links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2000156
2 1995116
3 197846
4 199543
5 198925
6 198725
7 197312
8 198810
9 19919
10 19787
11
Recombinant pyruvate kinase type I from Escherichia coli: overproduction and revised C-terminus of the polypeptide.
19977
12 19954
13 19704
14 19934
15 19674
16 19952
17 19711

About M.L. Speranza

M.L. Speranza is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Spectroscopy and Genetics, having authored 17 papers that have together received 475 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Protein Structure and Dynamics (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Biochemistry (74 citations), Molecular Biology (327 citations), Clinical Biochemistry (24 citations), Cell Biology (50 citations) and Physiology (13 citations). M.L. Speranza has collaborated with scholars based in Italy. Frequent co-authors include Giovanna Valentini, Andrea Mattevi, Alessandro Galizzi, Laurent R. Chiarelli, R. Fortin, Martino Bolognesi, Alessandro Coda, Giuseppina Ferri, Menico Rizzi and Alessandra M. Albertini. Their work appears in journals such as Biochemical Pharmacology, Journal of Biological Chemistry, Structure, Comparative Biochemistry and Physiology and PubMed.

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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