Jutta Bachmann

3.1k total citations · 1 hit paper
13 papers, 2.5k citations indexed

About

Jutta Bachmann is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Plant Science. According to data from OpenAlex, Jutta Bachmann has authored 13 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Plant Science. Recurrent topics in Jutta Bachmann's work include Advanced Biosensing Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Gene expression and cancer classification (4 papers). Jutta Bachmann is often cited by papers focused on Advanced Biosensing Techniques and Applications (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Gene expression and cancer classification (4 papers). Jutta Bachmann collaborates with scholars based in Germany, United Kingdom and United States. Jutta Bachmann's co-authors include Hans‐Georg Rammensee, Stefan Stevanović, Niels Emmerich, Thomas Joos, Markus F. Templin, Dieter Stoll, Tal Simmons, Lutz Bachmann, Wolfgang J. Miller and Hsin‐Yun Hsu and has published in prestigious journals such as The American Journal of Human Genetics, Molecular Biology and Evolution and Drug Discovery Today.

In The Last Decade

Jutta Bachmann

12 papers receiving 2.4k 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.

SYFPEITHI: database for MHC ligands and peptide motifs

1999 1.9k citations Hans‐Georg Rammensee, Jutta Bachmann et al. Immunogenetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jutta Bachmann Germany	10	1.6k	1.5k	558	338	332	13	2.5k
Niels Emmerich Germany	7	1.7k 1.1×	1.8k 1.2×	494 0.9×	355 1.1×	503 1.5×	9	2.6k
Juergen Hammer United States	30	2.5k 1.6×	1.7k 1.1×	942 1.7×	429 1.3×	367 1.1×	62	3.8k
Mikkel Harndahl Denmark	21	1.7k 1.1×	1.7k 1.1×	626 1.1×	309 0.9×	439 1.3×	40	2.6k
Xavier Brochet France	9	1.1k 0.7×	760 0.5×	722 1.3×	209 0.6×	226 0.7×	11	2.0k
Glenn Ishioka United States	24	1.5k 0.9×	844 0.6×	363 0.7×	591 1.7×	276 0.8×	45	2.3k
Stuart J. Rodda Australia	21	902 0.6×	1.4k 0.9×	1.1k 1.9×	363 1.1×	249 0.8×	38	2.6k
Leonard Moise United States	33	1.1k 0.7×	1.5k 1.0×	774 1.4×	543 1.6×	172 0.5×	99	2.7k
Teresa Di Prospero United Kingdom	8	1.1k 0.7×	724 0.5×	838 1.5×	443 1.3×	296 0.9×	11	2.1k
Patrice Duroux France	15	1.2k 0.8×	936 0.6×	782 1.4×	147 0.4×	236 0.7×	27	2.1k
Anette Stryhn Denmark	25	1.4k 0.9×	1.3k 0.9×	522 0.9×	472 1.4×	630 1.9×	61	2.8k

Countries citing papers authored by Jutta Bachmann

Since Specialization

Citations

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

Fields of papers citing papers by Jutta Bachmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jutta Bachmann

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Paris, Margot, Esra Durmaz Mitchell, Envel Kerdaffrec, et al.. (2025). Multiple forms of balancing selection maintain inversion polymorphism. Heredity. 135(3). 138–151.

2.

Bachmann, Jutta & Tal Simmons. (2010). The Influence of Preburial Insect Access on the Decomposition Rate. Journal of Forensic Sciences. 55(4). 893–900. 43 indexed citations

3.

Yu, Xiaobo, Nicole Schneiderhan‐Marra, Hsin‐Yun Hsu, Jutta Bachmann, & Thomas Joos. (2009). Protein Microarrays: Effective Tools for the Study of Inflammatory Diseases. Methods in molecular biology. 577. 199–214. 21 indexed citations

4.

Joos, Thomas & Jutta Bachmann. (2005). The promise of biomarkers: research and applications. Drug Discovery Today. 10(9). 615–616. 3 indexed citations

5.

Joos, Thomas, et al.. (2005). Protein biochips: the calm before the storm. Drug Discovery Today. 10(4). 283–287. 18 indexed citations

6.

Stoll, Dieter, Markus F. Templin, Jutta Bachmann, & Thomas Joos. (2005). Protein microarrays: applications and future challenges.. PubMed. 8(2). 239–52. 59 indexed citations

7.

Templin, Markus F., Dieter Stoll, Jutta Bachmann, & Thomas Joos. (2004). Protein Microarrays and Multiplexed Sandwich Immunoassays: What Beats the Beads?. Combinatorial Chemistry & High Throughput Screening. 7(3). 223–229. 52 indexed citations

8.

Bachmann, Jutta, et al.. (2004). Advancing applications of microarrays. Drug Discovery Today. 9(2). 61–63. 2 indexed citations

9.

Stoll, Dieter, Jutta Bachmann, Markus F. Templin, & Thomas Joos. (2004). Microarray technology: an increasing variety of screening tools for proteomic research. PubMed. 3(1). 24–31. 20 indexed citations

10.

Scholz, Michael, Lutz Bachmann, Graeme Nicholson, et al.. (2000). Genomic Differentiation of Neanderthals and Anatomically Modern Man Allows a Fossil–DNA-Based Classification of Morphologically Indistinguishable Hominid Bones. The American Journal of Human Genetics. 66(6). 1927–1932. 25 indexed citations

11.

Miller, Wolfgang J., et al.. (2000). Evolutionary Dynamics of the SGM Transposon Family in the Drosophila obscura Species Group. Molecular Biology and Evolution. 17(11). 1597–1609. 59 indexed citations

12.

Rammensee, Hans‐Georg, et al.. (1999). SYFPEITHI: database for MHC ligands and peptide motifs. Immunogenetics. 50(3-4). 213–219. 1893 indexed citations breakdown →

13.

Rammensee, Hans‐Georg, Jutta Bachmann, & Stefan Stevanović. (1997). MHC Ligands and Peptide Motifs. 278 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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