A Parnassa

980 total citations
9 papers, 828 citations indexed

About

A Parnassa is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, A Parnassa has authored 9 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Immunology. Recurrent topics in A Parnassa's work include RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). A Parnassa is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). A Parnassa collaborates with scholars based in United States. A Parnassa's co-authors include Keith B. Elkon, C. L. Foster, J L Chu, Jörn Drappa, Herbert Weissbach, N Brot, W. Möller, S Skelly, Waleed Danho and Paul Hasler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

A Parnassa

9 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A Parnassa United States	8	419	351	339	296	68	9	828
Christina Chan United States	13	643 1.5×	267 0.8×	223 0.7×	97 0.3×	136 2.0×	19	1.1k
Yuko Kozono Japan	14	820 2.0×	279 0.8×	151 0.4×	142 0.5×	40 0.6×	18	1.2k
C. Onnekink Netherlands	10	107 0.3×	293 0.8×	179 0.5×	209 0.7×	50 0.7×	11	700
S C Meuer Germany	16	741 1.8×	285 0.8×	286 0.8×	30 0.1×	85 1.3×	21	1.1k
Matthias Kalbus Germany	12	539 1.3×	200 0.6×	174 0.5×	31 0.1×	28 0.4×	14	667
Angeline Douvas United States	9	98 0.2×	235 0.7×	104 0.3×	88 0.3×	140 2.1×	12	539
Gabriele Beck‐Engeser United States	19	563 1.3×	465 1.3×	210 0.6×	38 0.1×	68 1.0×	31	1.0k
W J Boersma Netherlands	7	552 1.3×	186 0.5×	98 0.3×	37 0.1×	36 0.5×	7	857
Michael Nawrath Switzerland	15	199 0.5×	291 0.8×	38 0.1×	97 0.3×	38 0.6×	23	544
Claude Tschopp Switzerland	7	204 0.5×	366 1.0×	62 0.2×	42 0.1×	30 0.4×	7	579

Countries citing papers authored by A Parnassa

Since Specialization

Citations

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

Fields of papers citing papers by A Parnassa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Parnassa

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

All Works

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9 of 9 papers shown

Mirković, Nebojša, Zhaohui Li, A Parnassa, & Diana Murray. (2006). Strategies for high‐throughput comparative modeling: Applications to leverage analysis in structural genomics and protein family organization. Proteins Structure Function and Bioinformatics. 66(4). 766–777. 20 indexed citations

Wurzburger, R J, Rajarsi Gupta, A Parnassa, et al.. (2003). Use of GC Clamps in DHPLC Mutation Scanning. Clinical Medicine & Research. 1(2). 111–118. 10 indexed citations

Chu, J L, Jörn Drappa, A Parnassa, & Keith B. Elkon. (1993). The defect in Fas mRNA expression in MRL/lpr mice is associated with insertion of the retrotransposon, ETn.. The Journal of Experimental Medicine. 178(2). 723–730. 201 indexed citations

Hasler, Paul, N Brot, Herbert Weissbach, A Parnassa, & Keith B. Elkon. (1991). Ribosomal proteins P0, P1, and P2 are phosphorylated by casein kinase II at their conserved carboxyl termini. Journal of Biological Chemistry. 266(21). 13815–13820. 77 indexed citations

Elkon, Keith B., et al.. (1990). Epitope mapping of recombinant HeLa SmB and B' peptides obtained by the polymerase chain reaction.. The Journal of Immunology. 145(2). 636–643. 33 indexed citations

Bonfá, Eloísa, A Parnassa, Douglas D. Rhoads, et al.. (1989). Antiribosomal S10 antibodies in humans and MRL/lpr mice with systemic lupus erythematosus. Arthritis & Rheumatism. 32(10). 1252–1261. 31 indexed citations

Elkon, Keith B., et al.. (1987). Characterization of autoantigens and autoantibodies by immunoblotting. Electrophoresis. 8(9). 445–451. 3 indexed citations

Elkon, Keith B., S Skelly, A Parnassa, et al.. (1986). Identification and chemical synthesis of a ribosomal protein antigenic determinant in systemic lupus erythematosus.. Proceedings of the National Academy of Sciences. 83(19). 7419–7423. 215 indexed citations

Elkon, Keith B., A Parnassa, & C. L. Foster. (1985). Lupus autoantibodies target ribosomal P proteins.. The Journal of Experimental Medicine. 162(2). 459–471. 238 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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