Ferdinand von Eggeling

5.2k total citations
155 papers, 3.7k citations indexed

About

Ferdinand von Eggeling is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Ferdinand von Eggeling has authored 155 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 35 papers in Spectroscopy and 22 papers in Oncology. Recurrent topics in Ferdinand von Eggeling's work include Advanced Proteomics Techniques and Applications (27 papers), Molecular Biology Techniques and Applications (19 papers) and Mass Spectrometry Techniques and Applications (18 papers). Ferdinand von Eggeling is often cited by papers focused on Advanced Proteomics Techniques and Applications (27 papers), Molecular Biology Techniques and Applications (19 papers) and Mass Spectrometry Techniques and Applications (18 papers). Ferdinand von Eggeling collaborates with scholars based in Germany, United States and France. Ferdinand von Eggeling's co-authors include Günther Ernst, Christian Melle, Bettina Schimmel, Kerstin Junker, Annett Bleul, Uwe Claussen, Orlando Guntinas‐Lichius, Thomas Liehr, Theodore Alexandrov and Michael Becker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Gastroenterology.

In The Last Decade

Ferdinand von Eggeling

154 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ferdinand von Eggeling Germany 36 1.9k 894 571 562 409 155 3.7k
Shan‐Rong Shi United States 19 2.1k 1.1× 378 0.4× 996 1.7× 381 0.7× 412 1.0× 34 4.2k
Rodrigo Chuaqui United States 29 2.4k 1.2× 399 0.4× 721 1.3× 265 0.5× 817 2.0× 55 3.8k
Linn Fagerberg Sweden 28 2.1k 1.1× 434 0.5× 249 0.4× 312 0.6× 302 0.7× 55 3.1k
Joseph Foster United States 23 2.0k 1.0× 706 0.8× 402 0.7× 361 0.6× 285 0.7× 41 3.5k
Valerie Calvert United States 30 2.6k 1.3× 711 0.8× 546 1.0× 89 0.2× 540 1.3× 59 3.7k
Robin Antrobus United Kingdom 44 3.3k 1.7× 325 0.4× 440 0.8× 358 0.6× 372 0.9× 102 5.5k
François Le Naour France 32 2.5k 1.3× 392 0.4× 487 0.9× 235 0.4× 388 0.9× 64 5.2k
Kenneth Wester Sweden 32 3.3k 1.7× 341 0.4× 1.2k 2.0× 353 0.6× 467 1.1× 78 5.6k
John W. Gillespie United States 27 3.7k 1.9× 1.1k 1.2× 727 1.3× 301 0.5× 892 2.2× 55 4.9k
Brian B. Tuch United States 19 4.5k 2.3× 120 0.1× 814 1.4× 461 0.8× 873 2.1× 36 6.3k

Countries citing papers authored by Ferdinand von Eggeling

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand von Eggeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ferdinand von Eggeling. 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 Ferdinand von Eggeling. The network helps show where Ferdinand von Eggeling may publish in the future.

Co-authorship network of co-authors of Ferdinand von Eggeling

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand von Eggeling. A scholar is included among the top collaborators of Ferdinand von Eggeling 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 Ferdinand von Eggeling. Ferdinand von Eggeling 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.
Machata, Silke, Ute Bertsche, Franziska Hoffmann, et al.. (2025). Identification of a fungal antibacterial endopeptidase that cleaves peptidoglycan. EMBO Reports. 26(15). 3889–3916.
2.
Azevedo, Tiago, Píetro Lió, Katharina Geißler, et al.. (2025). Real-Time Intraoperative Decision-Making in Head and Neck Tumor Surgery: A Histopathologically Grounded Hyperspectral Imaging and Deep Learning Approach. Cancers. 17(10). 1617–1617. 3 indexed citations
3.
4.
Darisipudi, Murthy N., Friedemann Börner, Franziska Hoffmann, et al.. (2024). Alpha-1-antitrypsin as novel substrate for S. aureus’ Spl proteases – implications for virulence. Frontiers in Immunology. 15. 1481181–1481181. 3 indexed citations
5.
Sharma, Gargi, Franziska Hoffmann, Katharina Geißler, et al.. (2022). A Proposal to Perform High Contrast Imaging of Human Palatine Tonsil with Cross Polarized Optical Coherence Tomography. Photonics. 9(4). 259–259. 1 indexed citations
6.
Hoffmann, Franziska, et al.. (2022). CD138 Is Expressed in Different Entities of Salivary Gland Cancer and Their Lymph Node Metastases and Therefore Represents a Potential Therapeutic Target. International Journal of Molecular Sciences. 23(16). 9037–9037. 3 indexed citations
7.
Ernst, Günther, et al.. (2022). Multi-Class Cancer Subtyping in Salivary Gland Carcinomas with MALDI Imaging and Deep Learning. Cancers. 14(17). 4342–4342. 14 indexed citations
8.
Ernst, Günther, et al.. (2022). Intraoperative Assessment of Tumor Margins in Tissue Sections with Hyperspectral Imaging and Machine Learning. Cancers. 15(1). 213–213. 18 indexed citations
9.
Hoffmann, Franziska, Jens Peter Klußmann, Moritz Meyer, et al.. (2021). Trophoblast Cell Surface Antigen 2 (Trop-2) Protein is Highly Expressed in Salivary Gland Carcinomas and Represents a Potential Therapeutic Target. Head and Neck Pathology. 15(4). 1147–1155. 27 indexed citations
10.
Jia, Lei‐Jie, Thomas Krüger, Matthew G. Blango, et al.. (2020). Biotinylated Surfome Profiling Identifies Potential Biomarkers for Diagnosis and Therapy of Aspergillus fumigatus Infection. mSphere. 5(4). 9 indexed citations
11.
Shadaydeh, Maha, Sebastian Böcker, Bernd Brügmann, et al.. (2020). A virtual “Werkstatt” for digitization in the sciences. SHILAP Revista de lepidopterología. 6. 2 indexed citations
12.
Meyer, Moritz, Franziska Hoffmann, Svenja Wagener‐Ryczek, et al.. (2020). Expression Profiling of Extracellular Matrix Genes Reveals Global and Entity-Specific Characteristics in Adenoid Cystic, Mucoepidermoid and Salivary Duct Carcinomas. Cancers. 12(9). 2466–2466. 20 indexed citations
13.
Bocklitz, Thomas, Tobias Meyer, Michael Schmitt, et al.. (2018). Invited Article: Comparison of hyperspectral coherent Raman scattering microscopies for biomedical applications. APL Photonics. 3(9). 10 indexed citations
14.
Bünger, Stefanie, Maria D. Kelly, Stephen P. Fitzgerald, et al.. (2013). A Novel Multiplex–Protein Array for Serum Diagnostics of Colorectal Cancer: Impact of Pre-analytical Storage Conditions. Biopreservation and Biobanking. 11(6). 379–386. 5 indexed citations
15.
Uz, Elif, Yasemin Alanay, Dilek Aktaş, et al.. (2010). Disruption of ALX1 Causes Extreme Microphthalmia and Severe Facial Clefting: Expanding the Spectrum of Autosomal-Recessive ALX-Related Frontonasal Dysplasia. The American Journal of Human Genetics. 86(5). 789–796. 101 indexed citations
16.
Kob, Robert, et al.. (2009). Regulation of the anaphase-promoting complex by the COP9 signalosome. Cell Cycle. 8(13). 2041–2049. 12 indexed citations
17.
Hemmerich, Peter, Stefanie Weidtkamp‐Peters, Wendy Bussen, et al.. (2008). Rad54B Targeting to DNA Double-Strand Break Repair Sites Requires Complex Formation with S100A11. Molecular Biology of the Cell. 19(7). 2926–2935. 39 indexed citations
18.
Melle, Christian, Ralf Bogumil, Günther Ernst, et al.. (2006). Detection and identification of heat shock protein 10 as a biomarker in colorectal cancer by protein profiling. PROTEOMICS. 6(8). 2600–2608. 36 indexed citations
19.
Dahse, Regine, Wolfgang Fiedler, Ulrike Riese, Ferdinand von Eggeling, & Günther Ernst. (1998). A semi-automated highly sensitive approach for mutation detection. 3(1). 138–140. 1 indexed citations
20.
Eggeling, Ferdinand von, et al.. (1995). Applications of random PCR.. PubMed. 41(5). 653–70. 13 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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