A Săsárman

777 citations
31 papers · 628 · h-index 14

Impact in

    • Porphyrin Metabolism and Disorders
    • Photosynthetic Processes and Mechanisms
    • Heme Oxygenase-1 and Carbon Monoxide
    • RNA and protein synthesis mechanisms

Papers in

    • Porphyrin Metabolism and Disorders 13
    • Heme Oxygenase-1 and Carbon Monoxide 6
    • Bacterial Genetics and Biotechnology 9

A Săsárman

28 papers receiving 569 citations

Peers

A Săsárman
Comparison fields: 5 of 66
  • Molecular Biology 533
  • Endocrinology 26
  • Rheumatology 66
  • Genetics 120
  • Pediatrics, Perinatology and Child Health 75
Replace G Ivánovics with:
G Ivánovics Hungary
Elizabeth Verkamp United States
Timothy C. Peakman United Kingdom
Jean‐Hervé Alix France
Michel Eschenbrenner United States
Mun-Han Lee South Korea
Françoise Borne France
Tetsuo Sawai Japan
Ottmar Goerlich Germany
Dirk Elseviers United States
A Săsárman relative to G Ivánovics Hungary G Ivánovics's profile →
Citations per field
00.5×
G Ivánovics · 1×
Citations per year

Countries citing papers authored by A Săsárman

Since Specialization
Citations

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

Fields of papers citing papers by A Săsárman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196873
2 196870
3 199355
4 198748
5 198946
6 197045
7 198844
8 197939
9 197528
10 196723
11 199621
12 199116
13 199716
14 197414
15 197113
16 199411
17 196911
18 197611
19
Menaphthone-requiring mutants of Staphylococcus aureus.
196810
20 19887

About A Săsárman

A Săsárman is a scholar working on Molecular Biology, Genetics, Ecology, Biotechnology and Endocrinology, having authored 31 papers that have together received 628 indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (13 papers), Bacterial Genetics and Biotechnology (9 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Escherichia coli research studies (4 papers), Bacteriophages and microbial interactions (4 papers), Vitamin K Research Studies (3 papers), Folate and B Vitamins Research (3 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Molecular Biology (533 citations), Endocrinology (26 citations), Rheumatology (66 citations), Genetics (120 citations) and Pediatrics, Perinatology and Child Health (75 citations). A Săsárman has collaborated with scholars based in Canada, Romania and Germany. Frequent co-authors include M Surdeanu, T Horodniceanu, Marc Drolet, Yann Echelard, S Sonea, M. Desrochers, Anca Dumitrescu, Kenneth E. Sanderson, G Szégli and Pascal Chartrand. Their work appears in journals such as Journal of Bacteriology, Canadian Journal of Microbiology, Gene, Nature and Nucleic Acids Research.

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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