Martin Eisenacher

23.8k total citations · 1 hit paper
163 papers, 8.6k citations indexed

About

Martin Eisenacher is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Martin Eisenacher has authored 163 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 76 papers in Spectroscopy and 19 papers in Oncology. Recurrent topics in Martin Eisenacher's work include Advanced Proteomics Techniques and Applications (75 papers), Mass Spectrometry Techniques and Applications (29 papers) and Metabolomics and Mass Spectrometry Studies (27 papers). Martin Eisenacher is often cited by papers focused on Advanced Proteomics Techniques and Applications (75 papers), Mass Spectrometry Techniques and Applications (29 papers) and Metabolomics and Mass Spectrometry Studies (27 papers). Martin Eisenacher collaborates with scholars based in Germany, United Kingdom and United States. Martin Eisenacher's co-authors include Juan Antonio Vizcaíno, Yasset Pérez‐Riverol, Mathias Walzer, David García‐Seisdedos, Ananth Prakash, Jingwen Bai, Shengbo Wang, Chakradhar Bandla, Deepti J Kundu and Suresh Hewapathirana and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Martin Eisenacher

161 papers receiving 8.6k citations

Hit Papers

align trajectories sort by overperformance

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.

The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences

2021 3.9k citations Martin Eisenacher, Juan Antonio Vizcaíno et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Eisenacher Germany	41	5.4k	1.7k	856	840	780	163	8.6k
Alexandre Zougman United Kingdom	24	6.2k 1.1×	2.1k 1.2×	763 0.9×	693 0.8×	614 0.8×	36	9.3k
Florian Reisinger United Kingdom	26	5.2k 1.0×	1.9k 1.1×	1.1k 1.3×	669 0.8×	526 0.7×	44	8.0k
Yasset Pérez‐Riverol United Kingdom	29	8.0k 1.5×	2.8k 1.6×	1.0k 1.2×	838 1.0×	669 0.9×	86	12.0k
Connie R. Jiménez Netherlands	56	4.8k 0.9×	1.6k 0.9×	655 0.8×	1.3k 1.6×	1.4k 1.7×	240	8.6k
Bernd Wollscheid Switzerland	46	4.6k 0.8×	1.8k 1.0×	1.3k 1.5×	766 0.9×	486 0.6×	115	7.6k
Stefka Tyanova Germany	17	7.7k 1.4×	2.2k 1.3×	1.1k 1.3×	1.0k 1.2×	888 1.1×	25	11.8k
Pavel Sinitcyn Germany	13	4.4k 0.8×	1.1k 0.6×	952 1.1×	748 0.9×	433 0.6×	19	6.8k
Rong Zeng China	53	5.6k 1.0×	978 0.6×	477 0.6×	722 0.9×	906 1.2×	222	8.5k
Anthony D. Whetton United Kingdom	52	5.2k 1.0×	1.0k 0.6×	1.2k 1.4×	1.4k 1.7×	1.0k 1.3×	277	8.9k
Jüergen Cox Germany	31	8.2k 1.5×	4.3k 2.5×	716 0.8×	772 0.9×	707 0.9×	37	11.2k

Countries citing papers authored by Martin Eisenacher

Since Specialization

Citations

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

Fields of papers citing papers by Martin Eisenacher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Eisenacher

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

All Works

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20 of 20 papers shown

König, Simone, Karin Schork, & Martin Eisenacher. (2024). Observations from the Proteomics Bench. Proteomes. 12(1). 6–6. 1 indexed citations

Nowak, Hartmuth, Björn Koos, Katharina Rump, et al.. (2024). Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP). BMJ Open. 14(12). e086094–e086094. 3 indexed citations

Mika, Thomas, et al.. (2024). Comparison of peripheral blood automated hematopoietic progenitor cell count and flow cytometric CD34+ cell count. Journal of Clinical Apheresis. 39(3). e22114–e22114.

Köhler, Christina, Karin Schork, Michael Turewicz, et al.. (2024). Use of Multiple Machine Learning Approaches for Selecting Urothelial Cancer-Specific DNA Methylation Biomarkers in Urine. International Journal of Molecular Sciences. 25(2). 738–738. 3 indexed citations

Uszkoreit, Julian, Karin Schork, Martin Eisenacher, et al.. (2023). Quality Control—A Stepchild in Quantitative Proteomics: A Case Study for the Human CSF Proteome. Biomolecules. 13(3). 491–491. 9 indexed citations

Kaufmann, Michael, et al.. (2021). Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?. PLoS ONE. 16(3). e0247930–e0247930. 15 indexed citations

Kohl, Michael, Thilo Bracht, Dominik A. Megger, et al.. (2020). CalibraCurve: A Tool for Calibration of Targeted MS‐Based Measurements. PROTEOMICS. 20(11). e1900143–e1900143. 4 indexed citations

Köhler, Christina, Nadine Bonberg, Maike Ahrens, et al.. (2019). Noninvasive diagnosis of urothelial cancer in urine using DNA hypermethylation signatures—Gender matters. International Journal of Cancer. 145(10). 2861–2872. 10 indexed citations

Maghnouj, Abdelouahid, Karin Schork, Michael Turewicz, et al.. (2019). Systematic Comparison of Label-Free, SILAC, and TMT Techniques to Study Early Adaption toward Inhibition of EGFR Signaling in the Colorectal Cancer Cell Line DiFi. Journal of Proteome Research. 19(2). 926–937. 35 indexed citations

10.

Bracht, Thilo, Maike Ahrens, Gereon Poschmann, et al.. (2016). Evaluation of the biomarker candidate MFAP4 for non-invasive assessment of hepatic fibrosis in hepatitis C patients. Journal of Translational Medicine. 14(1). 201–201. 39 indexed citations

11.

Manitz, Marie Pierre, Seray Demir, Maike Ahrens, et al.. (2016). Flow cytometric characterization of microglia in the offspring of PolyI:C treated mice. Brain Research. 1636. 172–182. 19 indexed citations

12.

Seymour, Sean L., Terry Farrah, Pierre‐Alain Binz, et al.. (2014). A standardized framing for reporting protein identifications in mzIdentML 1.2. PROTEOMICS. 14(21-22). 2389–2399. 16 indexed citations

13.

Neumann, Martin H., Stefan Helling, Fouzi El Magraoui, et al.. (2013). Amyloid Beta A4 Precursor Protein-binding Family B Member 1 (FE65) Interactomics Revealed Synaptic Vesicle Glycoprotein 2A (SV2A) and Sarcoplasmic/Endoplasmic Reticulum Calcium ATPase 2 (SERCA2) as New Binding Proteins in the Human Brain. Molecular & Cellular Proteomics. 13(2). 475–488. 30 indexed citations

14.

Turewicz, Michael, Caroline May, Maike Ahrens, et al.. (2013). Improving the default data analysis workflow for large autoimmune biomarker discovery studies with ProtoArrays. PROTEOMICS. 13(14). 2083–2087. 15 indexed citations

15.

Hamacher, Michael, et al.. (2010). Data Mining in Proteomics. Methods in molecular biology. 44 indexed citations

16.

Eisenacher, Martin, Michael Kohl, Lennart Martens, et al.. (2008). Proteomics Data Collection – 4^th ProDaC Workshop 15 August 2008, Amsterdam, The Netherlands. PROTEOMICS. 9(2). 218–222. 2 indexed citations

17.

Hamacher, Michael, Christoph Stephan, Martin Eisenacher, et al.. (2007). Proteomics for everyday use: Activities of the HUPO Brain Proteome Project during the 5^th HUPO World Congress. PROTEOMICS. 7(7). 1012–1015. 7 indexed citations

18.

Ehrchen, Jan, Lars Steinmüller, Katarzyna Barczyk, et al.. (2006). Glucocorticoids induce differentiation of a specifically activated, anti-inflammatory subtype of human monocytes. Blood. 109(3). 1265–1274. 321 indexed citations

19.

Schaefer, Karl‐Ludwig, Daniel Wai, Yvonne Braun, et al.. (2004). Expression Profiling of t(12;22) Positive Clear Cell Sarcoma of Soft Tissue Cell Lines Reveals Characteristic Up-Regulation of Potential New Marker Genes Including ERBB3 . Cancer Research. 64(10). 3395–3405. 56 indexed citations

20.

Korsching, Eberhard, Jens Packeisen, Konstantin Agelopoulos, et al.. (2002). Cytogenetic Alterations and Cytokeratin Expression Patterns in Breast Cancer: Integrating a New Model of Breast Differentiation into Cytogenetic Pathways of Breast Carcinogenesis. Laboratory Investigation. 82(11). 1525–1533. 208 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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