Michael S. Ackerman

912 total citations
9 papers, 738 citations indexed

About

Michael S. Ackerman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Michael S. Ackerman has authored 9 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Materials Chemistry. Recurrent topics in Michael S. Ackerman's work include Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Chemical Synthesis and Analysis (2 papers). Michael S. Ackerman is often cited by papers focused on Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Chemical Synthesis and Analysis (2 papers). Michael S. Ackerman collaborates with scholars based in United States, Australia and Germany. Michael S. Ackerman's co-authors include David Shortle, Konrad Beck, Barbara Brodsky, John A. M. Ramshaw, Liyuan Tao, Siegfried Rieble, Yihong Zhang, Jack Wang, Reb J. Russell and David Wang‐Iverson and has published in prestigious journals such as Science, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Michael S. Ackerman

9 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael S. Ackerman United States 8 594 319 137 68 68 9 738
Annett Bachmann Switzerland 12 661 1.1× 378 1.2× 99 0.7× 58 0.9× 44 0.6× 12 763
Martin J. Parker United Kingdom 17 978 1.6× 459 1.4× 156 1.1× 93 1.4× 29 0.4× 23 1.1k
Michael D. Daily United States 16 781 1.3× 282 0.9× 108 0.8× 75 1.1× 100 1.5× 23 968
Marilyn Emerson Holtzer United States 17 498 0.8× 139 0.4× 117 0.9× 56 0.8× 40 0.6× 44 695
Hilde Damaschun Germany 17 688 1.2× 315 1.0× 79 0.6× 50 0.7× 23 0.3× 31 848
Andrzej Bierzyński Poland 15 723 1.2× 207 0.6× 101 0.7× 45 0.7× 29 0.4× 33 804
Boaz Avron Israel 8 619 1.0× 314 1.0× 92 0.7× 56 0.8× 13 0.2× 8 824
Søren Roi Midtgaard Denmark 17 470 0.8× 118 0.4× 88 0.6× 43 0.6× 77 1.1× 25 721
Ana I. Azuaga Spain 15 489 0.8× 174 0.5× 50 0.4× 20 0.3× 37 0.5× 25 622
Woon Ki Lim South Korea 16 861 1.4× 298 0.9× 254 1.9× 76 1.1× 18 0.3× 29 1.2k

Countries citing papers authored by Michael S. Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Ackerman. 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 Michael S. Ackerman. The network helps show where Michael S. Ackerman may publish in the future.

Co-authorship network of co-authors of Michael S. Ackerman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Ackerman. A scholar is included among the top collaborators of Michael S. Ackerman 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 Michael S. Ackerman. Michael S. Ackerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Ackerman, Michael S., Bei Wang, Wei Wu, et al.. (2013). Investigation of monoclonal antibody fragmentation artifacts in non-reducing SDS-PAGE. Journal of Pharmaceutical and Biomedical Analysis. 83. 89–95. 29 indexed citations
2.
Liu, Peiran, Bethanne M. Warrack, Wei Wu, et al.. (2010). A tris (2-carboxyethyl) phosphine (TCEP) related cleavage on cysteine-containing proteins. Journal of the American Society for Mass Spectrometry. 21(5). 837–844. 59 indexed citations
3.
Liu, Peiran, Wei Wu, Haiying Zhang, et al.. (2009). Characterization of S‐thiolation on secreted proteins from E. coli by mass spectrometry. Rapid Communications in Mass Spectrometry. 23(20). 3343–3349. 1 indexed citations
4.
Ackerman, Michael S. & David Shortle. (2002). Molecular Alignment of Denatured States of Staphylococcal Nuclease with Strained Polyacrylamide Gels and Surfactant Liquid Crystalline Phases. Biochemistry. 41(9). 3089–3095. 26 indexed citations
5.
Ackerman, Michael S. & David Shortle. (2002). Robustness of the Long-Range Structure in Denatured Staphylococcal Nuclease to Changes in Amino Acid Sequence. Biochemistry. 41(46). 13791–13797. 48 indexed citations
6.
Shortle, David & Michael S. Ackerman. (2001). Persistence of Native-Like Topology in a Denatured Protein in 8 M Urea. Science. 293(5529). 487–489. 484 indexed citations
7.
Ackerman, Michael S., et al.. (1999). Sequence Dependence of the Folding of Collagen-like Peptides. Journal of Biological Chemistry. 274(12). 7668–7673. 74 indexed citations
8.
Frishman, William H., et al.. (1987). β-Adrenergic Blockade in Children. Cardiology Clinics. 5(4). 629–649. 8 indexed citations
9.
Pritchard, Jon, et al.. (1976). Indium-III-Labeled Antibody Heavy Metal Chelate Conjugates: A Potential Alternative to Radioiodination. Experimental Biology and Medicine. 151(2). 297–302. 9 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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