M. Båga

1.6k citations
21 papers · 1.4k · h-index 14

Impact in

Papers in

M. Båga

21 papers receiving 1.2k citations

Peers

M. Båga
Comparison fields: 5 of 68
  • Endocrinology 624
  • Molecular Medicine 138
  • Genetics 460
  • Nutrition and Dietetics 235
  • Food Science 241
Replace B. Baudry with:
B. Baudry United States
Soila Sukupolvi Finland
Nigel Harford Belgium
Takashi Hamabata Japan
Lawrence A. Dreyfus United States
Sophie A. Matthews United Kingdom
Jaclyn S. Pearson Australia
Susan M. Butler United States
Matthew S. Francis Sweden
Rosanna Mundy United Kingdom
M. Båga relative to B. Baudry United States B. Baudry's profile →
Citations per field
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B. Baudry · 1×
Citations per year

Countries citing papers authored by M. Båga

Since Specialization
Citations

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

Fields of papers citing papers by M. Båga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992173
2 2008162
3 1983160
4 1985139
5 1984137
6 1984126
7 1987105
8 198583
9 198573
10 199950
11 199946
12 198537
13 200919
14 198615
15 201210
16 20127
17
Chickpea – nutritional quality and role in alleviation of global malnourishment
20146
18
Use of a Luciferase Marker Gene System to Monitor Gene expression in Bacteria, Plant and Virus Infected Animal Cells
19933
19 19892
20
Alfalfa varieties for the irrigated areas of the Ebro valley (Spain).
20001

About M. Båga

M. Båga is a scholar working on Molecular Biology, Genetics, Endocrinology, Plant Science and Biotechnology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Escherichia coli research studies (8 papers), Bacterial Genetics and Biotechnology (5 papers), Transgenic Plants and Applications (4 papers), Bacteriophages and microbial interactions (4 papers), RNA and protein synthesis mechanisms (3 papers), Wheat and Barley Genetics and Pathology (3 papers), Genetics and Plant Breeding (3 papers) and Genetic and Environmental Crop Studies (2 papers). The work is most often cited by research in Endocrinology (624 citations), Molecular Medicine (138 citations), Genetics (460 citations), Nutrition and Dietetics (235 citations) and Food Science (241 citations). M. Båga has collaborated with scholars based in Canada, Sweden and United States. Frequent co-authors include Staffan Normark, Mari Norgren, Bernt Eric Uhlin, D Lark, P O’Hanley, Stanley Falkow, Gary K. Schoolnik, Jan M. Tennent, Ravindra N. Chibbar and Frederik P. Lindberg. Their work appears in journals such as The EMBO Journal, Molecular Microbiology, Journal of Bacteriology, Cereal Chemistry and Food Chemistry.

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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