M.H. Saier

1.5k total citations · 1 hit paper
6 papers, 1.2k citations indexed

About

M.H. Saier is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, M.H. Saier has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in M.H. Saier's work include Bacterial Genetics and Biotechnology (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). M.H. Saier is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). M.H. Saier collaborates with scholars based in United States. M.H. Saier's co-authors include Ian T. Paulsen, A. Goffeau, Tsai-Tien Tseng, Dong-Jin Park, Dietrich H. Nies, Justin M. Kollman and Gerald M. Pao and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, The Journal of Membrane Biology and Research in Microbiology.

In The Last Decade

M.H. Saier

6 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The RND permease superfamily: an ancient, ubiquitous and diverse family that includes human disease and development proteins.

1999 503 citations Tsai-Tien Tseng, Justin M. Kollman et al. PubMed profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M.H. Saier United States	6	540	253	251	235	196	6	1.2k
Tsai-Tien Tseng United States	4	368 0.7×	192 0.8×	63 0.3×	90 0.4×	186 0.9×	7	731
Aiala Reizer United States	25	1.6k 2.9×	969 3.8×	157 0.6×	311 1.3×	217 1.1×	43	2.5k
Mario A. Pennella United States	13	493 0.9×	230 0.9×	396 1.6×	115 0.5×	24 0.1×	14	1.1k
Dimitrios L. Kalpaxis Greece	20	776 1.4×	143 0.6×	68 0.3×	50 0.2×	97 0.5×	72	1.3k
Vamsee Reddy United States	11	1.1k 2.1×	249 1.0×	94 0.4×	393 1.7×	125 0.6×	14	1.8k
Françoise Hoegy France	18	591 1.1×	407 1.6×	98 0.4×	322 1.4×	292 1.5×	28	1.1k
Debbie McLaggan United Kingdom	20	956 1.8×	381 1.5×	56 0.2×	211 0.9×	68 0.3×	36	1.7k
Anne Bagg United States	8	726 1.3×	555 2.2×	137 0.5×	215 0.9×	118 0.6×	9	1.3k
Elaine R. Frawley United States	16	716 1.3×	163 0.6×	136 0.5×	90 0.4×	98 0.5×	20	1.2k
Marek K. Sliwinski United States	14	972 1.8×	317 1.3×	53 0.2×	460 2.0×	247 1.3×	19	1.7k

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-authorship network of co-authors of M.H. Saier

This figure shows the co-authorship network connecting the top 25 collaborators of M.H. Saier. A scholar is included among the top collaborators of M.H. Saier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.H. Saier. M.H. Saier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Saier, M.H., et al.. (1999). The amino acid/auxin:proton symport permease family1The accompanying review paper ‘Phylogenetic characterization of novel transport protein families revealed by genome analysis’ by M.H. Saier Jr. et al. will be published in Biochim. Biophys. Acta, Vol. 1422/1, February 1999 issue.1. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1415(2). 306–322. 127 indexed citations

2.

Tseng, Tsai-Tien, Justin M. Kollman, Dong-Jin Park, et al.. (1999). The RND permease superfamily: an ancient, ubiquitous and diverse family that includes human disease and development proteins.. PubMed. 1(1). 107–25. 503 indexed citations breakdown →

3.

Paulsen, Ian T. & M.H. Saier. (1997). A Novel Family of Ubiquitous Heavy Metal Ion Transport Proteins. The Journal of Membrane Biology. 156(2). 99–103. 300 indexed citations

4.

Saier, M.H., et al.. (1996). Phylogenetic, Structural and Functional Characteristics of the Na-K-Cl Cotransporter Family. The Journal of Membrane Biology. 149(3). 161–168. 37 indexed citations

5.

Pao, Gerald M., et al.. (1994). Response regulators: structure, function and evolution. Research in Microbiology. 145(5-6). 356–362. 25 indexed citations

6.

Saier, M.H., et al.. (1993). Structural, functional, and evolutionary relationships among extracellular solute-binding receptors of bacteria.. Microbiological Reviews. 57(2). 320–346. 204 indexed citations

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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