M. Badasso

1.3k citations
24 papers · 1.1k · h-index 13

Impact in

Papers in

    • Biochemical and Structural Characterization 7
    • RNA and protein synthesis mechanisms 7
    • Protein Structure and Dynamics 4
    • Enzyme Structure and Function 15

M. Badasso

24 papers receiving 1.1k citations

Peers

M. Badasso
Comparison fields: 5 of 80
  • Structural Biology 31
  • Ecology 518
  • Molecular Biology 789
  • Biotechnology 98
  • Genetics 173
Replace Gerrit G. Langer with:
Gerrit G. Langer Germany
A.E. Hodel United States
W.G.J. Hol Netherlands
Gavin C. Fox France
John Day United States
Colleen A. Kellenberger United States
Alan I. Derman United States
Ira Schildkraut United States
Thomas J. Santangelo United States
B.G. Guimarães Brazil
M. Badasso relative to Gerrit G. Langer Germany Gerrit G. Langer's profile →
Citations per field
00.5×5.2×
Gerrit G. Langer · 1×
Citations per year

Countries citing papers authored by M. Badasso

Since Specialization
Citations

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

Fields of papers citing papers by M. Badasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000460
2 1992117
3 2003106
4 199584
5 200183
6
X-ray analyses of aspartic proteinases. V. Structure and refinement at 2.0 A resolution of the aspartic proteinase from Mucor pusillus.
199341
7 199439
8 199733
9 199830
10 199823
11 199323
12 200019
13 199316
14 19927
15 19957
16 19937
17 20007
18 19966
19 20126
20 19923

About M. Badasso

M. Badasso is a scholar working on Molecular Biology, Materials Chemistry, Biotechnology, Ecology and Oncology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (15 papers), Biochemical and Structural Characterization (7 papers), Enzyme Production and Characterization (7 papers), RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (6 papers), Peptidase Inhibition and Analysis (4 papers), Protein Structure and Dynamics (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Structural Biology (31 citations), Ecology (518 citations), Molecular Biology (789 citations), Biotechnology (98 citations) and Genetics (173 citations). M. Badasso has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Dwight L. Anderson, Michael G. Rossmann, P.G. Leiman, Marc C. Morais, Yizhi Jane Tao, A.A. Simpson, Paul J. Jardine, Timothy S. Baker, Norman H. Olson and Yongning He. Their work appears in journals such as Journal of Molecular Biology, Nature, Journal of Crystal Growth, Advances in experimental medicine and biology and Protein Engineering Design and Selection.

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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