E Ackerman

1.4k total citations
17 papers, 1.1k citations indexed

About

E Ackerman is a scholar working on Molecular Biology, Biotechnology and Immunology. According to data from OpenAlex, E Ackerman has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Biotechnology and 8 papers in Immunology. Recurrent topics in E Ackerman's work include Transgenic Plants and Applications (8 papers), Toxin Mechanisms and Immunotoxins (8 papers) and RNA and protein synthesis mechanisms (4 papers). E Ackerman is often cited by papers focused on Transgenic Plants and Applications (8 papers), Toxin Mechanisms and Immunotoxins (8 papers) and RNA and protein synthesis mechanisms (4 papers). E Ackerman collaborates with scholars based in United States and United Kingdom. E Ackerman's co-authors include Shailendra K. Saxena, Richard J. Youle, Alison D. O’Brien, S.M. Rybak, Alexandra L. Brown, Lorenzo Chiariotti, Craig C. Orlowski, Wilson H. Burgess, Tevie Mehlman and Carmelo B. Bruni and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Radiation Research.

In The Last Decade

E Ackerman

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E Ackerman United States 14 733 305 211 183 131 17 1.1k
Steve L. Martin United Kingdom 13 375 0.5× 223 0.7× 27 0.1× 69 0.4× 53 0.4× 20 1.0k
Behjatolah Monzavi‐Karbassi United States 21 885 1.2× 549 1.8× 43 0.2× 99 0.5× 45 0.3× 63 1.3k
D. B. Thomas Tanzania 24 881 1.2× 698 2.3× 26 0.1× 62 0.3× 31 0.2× 69 1.9k
Arpi Hagopian United States 18 846 1.2× 135 0.4× 51 0.2× 118 0.6× 13 0.1× 25 1.2k
Robert A. Boykins United States 20 772 1.1× 350 1.1× 38 0.2× 18 0.1× 35 0.3× 34 1.6k
M A Hutchinson United States 12 626 0.9× 109 0.4× 19 0.1× 44 0.2× 55 0.4× 14 1.2k
Michael Heike Germany 19 700 1.0× 542 1.8× 22 0.1× 46 0.3× 30 0.2× 58 1.6k
Claudi M. Cuchillo Spain 24 1.2k 1.7× 192 0.6× 53 0.3× 63 0.3× 6 0.0× 63 1.7k
Andreas J. Hülsmeier Switzerland 18 589 0.8× 126 0.4× 38 0.2× 29 0.2× 18 0.1× 32 961
Mogjiborahman Salek Germany 21 1.3k 1.7× 575 1.9× 12 0.1× 31 0.2× 113 0.9× 29 2.0k

Countries citing papers authored by E Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by E Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Ackerman

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

All Works

17 of 17 papers shown
1.
Semenenko, V. A., Robert D. Stewart, & E Ackerman. (2005). Monte Carlo Simulation of Base and Nucleotide Excision Repair of Clustered DNA Damage Sites. I. Model Properties and Predicted Trends. Radiation Research. 164(2). 180–193. 44 indexed citations
2.
Wind, Robert A., Paul D. Majors, Kevin R. Minard, et al.. (2002). Combined confocal and magnetic resonance microscopy. Applied Magnetic Resonance. 22(2). 145–158. 8 indexed citations
3.
Newton, Dianne L., Richard Wales, Peter T. Richardson, et al.. (1992). Cell surface and intracellular functions for ricin galactose binding.. Journal of Biological Chemistry. 267(17). 11917–11922. 71 indexed citations
4.
Saxena, Shailendra K., S.M. Rybak, Richard T. Davey, Richard J. Youle, & E Ackerman. (1992). Angiogenin is a cytotoxic, tRNA-specific ribonuclease in the RNase A superfamily.. Journal of Biological Chemistry. 267(30). 21982–21986. 127 indexed citations
5.
Rybak, S.M., Shailendra K. Saxena, E Ackerman, & Richard J. Youle. (1991). Cytotoxic potential of ribonuclease and ribonuclease hybrid proteins.. Journal of Biological Chemistry. 266(31). 21202–21207. 86 indexed citations
6.
Saxena, Shailendra K., S.M. Rybak, G. Sebastiaan Winkler, et al.. (1991). Comparison of RNases and toxins upon injection into Xenopus oocytes.. Journal of Biological Chemistry. 266(31). 21208–21214. 73 indexed citations
7.
Saxena, Shailendra K. & E Ackerman. (1990). Ribozymes correctly cleave a model substrate and endogenous RNA in vivo.. Journal of Biological Chemistry. 265(28). 17106–17109. 72 indexed citations
8.
Saxena, Shailendra K. & E Ackerman. (1990). Microinjected oligonucleotides complementary to the alpha-sarcin loop of 28 S RNA abolish protein synthesis in Xenopus oocytes.. Journal of Biological Chemistry. 265(6). 3263–3269. 29 indexed citations
9.
Saxena, Shailendra K., Alison D. O’Brien, & E Ackerman. (1989). Shiga Toxin, Shiga-like Toxin II Variant, and Ricin Are All Single-site RNA N-Glycosidases of 28 S RNA When Microinjected into Xenopus Oocytes. Journal of Biological Chemistry. 264(1). 596–601. 188 indexed citations
10.
Brown, Alexandra L., Lorenzo Chiariotti, Craig C. Orlowski, et al.. (1989). Nucleotide Sequence and Expression of a cDNA Clone Encoding a Fetal Rat Binding Protein for Insulin-like Growth Factors. Journal of Biological Chemistry. 264(9). 5148–5154. 237 indexed citations
11.
Ackerman, E, Shailendra K. Saxena, & N. Ulbrich. (1988). Alpha-sarcin causes a specific cut in 28 S rRNA when microinjected into Xenopus oocytes.. Journal of Biological Chemistry. 263(32). 17076–17083. 21 indexed citations
12.
Ackerman, E. (1983). Molecular cloning and sequencing of OAX DNA: an abundant gene family transcribed and activated in Xenopus oocytes.. The EMBO Journal. 2(8). 1417–1422. 43 indexed citations
13.
Chan, Yuen‐Ling, N. Ulbrich, E Ackerman, et al.. (1982). The binding of transfer ribonucleic acids to 5 S and 5.8 S eukaryotic ribosomal ribonucleic acid-protein complexes.. Journal of Biological Chemistry. 257(5). 2522–2527. 11 indexed citations
14.
Chan, Shu Jin, E Ackerman, Paul Quinn, Paul B. Sigler, & Donald F. Steiner. (1981). Use of formylated yeast initiator Met tRNA to define the NH2-terminal residues of rat preproinsulin and pregrowth hormone.. Journal of Biological Chemistry. 256(7). 3271–3275. 8 indexed citations
15.
Levens, David, Baruch S. Ticho, E Ackerman, & Murray Rabinowitz. (1981). Transcriptional initiation and 5' termini of yeast mitochondrial RNA.. Journal of Biological Chemistry. 256(10). 5226–5232. 73 indexed citations
16.
Ulbrich, N., Kazuo Todokoro, E Ackerman, & Ira G. Wool. (1980). Characterization of the binding of rat liver ribosomal proteins L6, L7, and L19 to 5 S ribosomal ribonucleic acid.. Journal of Biological Chemistry. 255(16). 7712–7715. 21 indexed citations
17.
Ulbrich, N., Ira G. Wool, E Ackerman, & Paul B. Sigler. (1980). The identification by affinity chromatography of the rat liver ribosomal proteins that bind to elongator and initiator transfer ribonucleic acids.. Journal of Biological Chemistry. 255(14). 7010–7016. 29 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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