John Hachmann

798 total citations
23 papers, 666 citations indexed

About

John Hachmann is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John Hachmann has authored 23 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Organic Chemistry and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John Hachmann's work include Chemical Synthesis and Analysis (8 papers), RNA and protein synthesis mechanisms (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). John Hachmann is often cited by papers focused on Chemical Synthesis and Analysis (8 papers), RNA and protein synthesis mechanisms (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). John Hachmann collaborates with scholars based in United States and Czechia. John Hachmann's co-authors include Herbert Weissbach, David L. Miller, Robert Shapiro, Michal Lebl, D. Stephen Charnock‐Jones, G. Michael Iverson, P A Barstad, H. G. Khorana, David Barker and Kozlov Ia and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Analytical Biochemistry.

In The Last Decade

John Hachmann

22 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Hachmann United States 13 514 108 79 75 54 23 666
Kay L. Nakamaye Germany 11 581 1.1× 100 0.9× 49 0.6× 116 1.5× 24 0.4× 13 825
Charles A. Dekker United States 14 691 1.3× 123 1.1× 26 0.3× 56 0.7× 42 0.8× 21 877
Takanori Yasukochi Japan 15 315 0.6× 47 0.4× 34 0.4× 81 1.1× 32 0.6× 27 600
Beat Wipf Switzerland 14 681 1.3× 109 1.0× 83 1.1× 60 0.8× 185 3.4× 19 1.0k
G A Orr United States 16 498 1.0× 99 0.9× 39 0.5× 51 0.7× 33 0.6× 23 882
Margret Wember Germany 17 648 1.3× 255 2.4× 55 0.7× 55 0.7× 40 0.7× 25 791
Brian P. Smart United States 12 491 1.0× 290 2.7× 77 1.0× 82 1.1× 45 0.8× 12 844
David G. Osterman United States 13 510 1.0× 61 0.6× 23 0.3× 48 0.6× 43 0.8× 16 672
James Wells United States 5 646 1.3× 68 0.6× 111 1.4× 102 1.4× 24 0.4× 6 815
J. Santeri Puranen Finland 9 238 0.5× 49 0.5× 27 0.3× 42 0.6× 34 0.6× 9 553

Countries citing papers authored by John Hachmann

Since Specialization
Citations

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

Fields of papers citing papers by John Hachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Hachmann

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

All Works

20 of 20 papers shown
1.
Lebl, Michal, John Hachmann, Melissa D. Shults, et al.. (2008). A High-Complexity, Multiplexed Solution-Phase Assay for Profiling Protease Activity on Microarrays. Combinatorial Chemistry & High Throughput Screening. 11(1). 24–35. 9 indexed citations
2.
Shults, Melissa D., Kozlov Ia, Nicholas A. Nelson, et al.. (2007). A Multiplexed Protein Kinase Assay. ChemBioChem. 8(8). 933–942. 25 indexed citations
3.
Ia, Kozlov, et al.. (2007). Evaluation of Different Chemical Strategies for Conjugation of Oligonucleotides to Peptides. Nucleosides Nucleotides & Nucleic Acids. 26(10-12). 1353–1357. 7 indexed citations
4.
Ia, Kozlov, et al.. (2007). Retention of Histidine-Containing Peptides on a Nickel Affinity Column. Journal of Chromatographic Science. 45(4). 207–211. 4 indexed citations
5.
Kermani, Bahram G., et al.. (2007). Using support vector machine regression to model the retention of peptides in immobilized metal-affinity chromatography. Sensors and Actuators B Chemical. 125(1). 149–157. 13 indexed citations
6.
Hachmann, John & Michal Lebl. (2006). Synthesis of Poly d(G-C) Oligonucleotides. Nucleosides Nucleotides & Nucleic Acids. 25(7). 705–717.
7.
Ia, Kozlov, Chanfeng Zhao, John Hachmann, et al.. (2006). A Method for Rapid Protease Substrate Evaluation and Optimization. Combinatorial Chemistry & High Throughput Screening. 9(6). 481–487. 6 indexed citations
8.
Hachmann, John & Michal Lebl. (2006). Search for optimal coupling reagent in multiple peptide synthesizer. Biopolymers. 84(3). 340–347. 28 indexed citations
9.
Lebl, Michal & John Hachmann. (2006). High‐Throughput Peptide Synthesis. ChemInform. 37(9). 2 indexed citations
10.
Lebl, Michal & John Hachmann. (2005). High-Throughput Peptide Synthesis. Humana Press eBooks. 298. 167–194. 10 indexed citations
11.
Hachmann, John, et al.. (2005). Models of protein modification in Tris–glycine and neutral pH Bis–Tris gels during electrophoresis: Effect of gel pH. Analytical Biochemistry. 342(2). 237–245. 22 indexed citations
12.
Hachmann, John & Michal Lebl. (2005). Alternative to Piperidine in Fmoc Solid-Phase Synthesis. Journal of Combinatorial Chemistry. 8(2). 149–149. 60 indexed citations
13.
Charnock‐Jones, D. Stephen, P A Barstad, John Hachmann, et al.. (1995). Immunospecific Reduction of Antioligonucleotide Antibody-Forming Cells with a Tetrakis-oligonucleotide Conjugate (LJP 394), a Therapeutic Candidate for the Treatment of Lupus Nephritis. Journal of Medicinal Chemistry. 38(12). 2138–2144. 52 indexed citations
14.
Charnock‐Jones, D. Stephen, et al.. (1994). Conjugates of Double-Stranded Oligonucleotides with Poly(ethylene glycol) and Keyhole Limpet Hemocyanin: A Model for Treating Systemic Lupus Erythematosus. Bioconjugate Chemistry. 5(5). 390–399. 35 indexed citations
15.
Hachmann, John, et al.. (1983). The evaluation of synthetic strategies for oligonucleotides of defined sequence. Computer Programs in Biomedicine. 16(1-2). 71–76. 2 indexed citations
16.
Miller, David L., John Hachmann, & Herbert Weissbach. (1971). The reactions of the sulfhydryl groups on the elongation factors Tu and Ts. Archives of Biochemistry and Biophysics. 144(1). 115–121. 73 indexed citations
17.
Weissbach, Herbert, Betty Redfield, & John Hachmann. (1970). Studies on the role of factor Ts in aminoacyl-tRNA binding to ribosomes. Archives of Biochemistry and Biophysics. 141(1). 384–386. 19 indexed citations
18.
Weissbach, Herbert, David L. Miller, & John Hachmann. (1970). Studies on the role of factor Ts in polypeptide synthesis. Archives of Biochemistry and Biophysics. 137(1). 262–269. 105 indexed citations
19.
Hachmann, John & H. G. Khorana. (1969). Polynucleotides. XCIII. A further study of the synthesis of deoxyribopolynucleotides using preformed oligonucleotide blocks. Journal of the American Chemical Society. 91(10). 2749–2757. 13 indexed citations
20.
Shapiro, Robert & John Hachmann. (1966). The Reaction of Guanine Derivatives with 1,2-Dicarbonyl Compounds*. Biochemistry. 5(9). 2799–2807. 120 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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