M.H. Saier

1.5k citations
6 papers · 1.2k · 1 hit paper · h-index 6

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 1
    • Photosynthetic Processes and Mechanisms 1
    • Bacterial Genetics and Biotechnology 3

M.H. Saier

6 papers receiving 1.2k citations

M.H. Saier's Hit Papers

The RND permease superfamily: an ancient, ubiquitous and diverse family that includes human disease and development proteins. 1999 · 503 citations
5030+9+18Years since publication100200300400500

Peers

M.H. Saier
Comparison fields: 5 of 97
  • Molecular Medicine 196
  • Nutrition and Dietetics 251
  • Endocrinology 63
  • Health, Toxicology and Mutagenesis 159
  • Genetics 253
Replace Tsai-Tien Tseng with:
Tsai-Tien Tseng United States
Aiala Reizer United States
Debbie McLaggan United Kingdom
Évelyne Turlin France
John E. Houghton United States
Kerstin Schreiber Germany
Lynne A. Becker United States
Danielle L. Swem United States
Dimitrios L. Kalpaxis Greece
Elaine R. Frawley United States
M.H. Saier relative to Tsai-Tien Tseng United States Tsai-Tien Tseng's profile →
Citations per field
00.5×4.0×
Tsai-Tien Tseng · 1×
Citations per year

Countries citing papers authored by M.H. Saier

Since Specialization
Citations

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

Fields of papers citing papers by M.H. Saier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside M.H. Saier, 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.H. Saier Line = papers co-authored together M.H. Saier links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About M.H. Saier

M.H. Saier is a scholar working on Molecular Biology, Genetics, Oncology, Molecular Medicine and Nutrition and Dietetics, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Antibiotic Resistance in Bacteria (2 papers), Lipid Membrane Structure and Behavior (1 paper), Trace Elements in Health (1 paper), Photosynthetic Processes and Mechanisms (1 paper), Plant nutrient uptake and metabolism (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Molecular Medicine (196 citations), Nutrition and Dietetics (251 citations), Endocrinology (63 citations), Health, Toxicology and Mutagenesis (159 citations) and Genetics (253 citations). M.H. Saier has collaborated with scholars based in United States. Frequent co-authors include Ian T. Paulsen, Dietrich H. Nies, Justin M. Kollman, Dong-Jin Park, A. Goffeau, Tsai-Tien Tseng and Gerald M. Pao. Their work appears in journals such as The Journal of Membrane Biology, Research in Microbiology, Biochimica et Biophysica Acta (BBA) - Biomembranes, Microbiological Reviews 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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