Michaela Golob

556 total citations
29 papers, 382 citations indexed

About

Michaela Golob is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michaela Golob has authored 29 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 17 papers in Molecular Biology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michaela Golob's work include Biosimilars and Bioanalytical Methods (21 papers), Advanced Biosensing Techniques and Applications (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Michaela Golob is often cited by papers focused on Biosimilars and Bioanalytical Methods (21 papers), Advanced Biosensing Techniques and Applications (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Michaela Golob collaborates with scholars based in Germany, Switzerland and Denmark. Michaela Golob's co-authors include Anja‐Katrin Bosserhoff, Reinhard Buettner, Ina Poser, Philip Timmerman, Peter van Amsterdam, Arjen Companjen, Joanne Goodman, Sandra Müller, Robert Nelson and Rüdiger Hein and has published in prestigious journals such as Molecular and Cellular Biology, British Journal of Pharmacology and Annals of the Rheumatic Diseases.

In The Last Decade

Michaela Golob

26 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Golob Germany 10 220 157 71 63 44 29 382
Paola Finotti Italy 14 412 1.9× 124 0.8× 26 0.4× 33 0.5× 23 0.5× 39 670
Kiyomi Yamauchi Japan 9 118 0.5× 73 0.5× 18 0.3× 104 1.7× 15 0.3× 9 513
Udayan Dutta United States 12 135 0.6× 26 0.2× 116 1.6× 38 0.6× 9 0.2× 14 373
Jung‐Mo Ahn South Korea 8 250 1.1× 61 0.4× 25 0.4× 65 1.0× 21 0.5× 9 382
Angela D. Irwin United States 11 240 1.1× 154 1.0× 17 0.2× 19 0.3× 10 0.2× 11 507
Zongyin Qiu China 9 415 1.9× 54 0.3× 14 0.2× 79 1.3× 10 0.2× 26 569
T A Tran-Thi Germany 12 319 1.4× 71 0.5× 28 0.4× 76 1.2× 29 0.7× 17 576
Akiko Ikuta Japan 12 241 1.1× 129 0.8× 5 0.1× 37 0.6× 22 0.5× 32 509
S.J. Mao United States 5 197 0.9× 65 0.4× 10 0.1× 111 1.8× 12 0.3× 6 506
Víctor H. Villar Spain 12 335 1.5× 73 0.5× 17 0.2× 115 1.8× 7 0.2× 20 552

Countries citing papers authored by Michaela Golob

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Golob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Golob

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Golob. A scholar is included among the top collaborators of Michaela Golob 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 Michaela Golob. Michaela Golob 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
2.
Hughes, Richard, Gregor Jordan, Arnout F. Gerritsen, et al.. (2025). Use of surrogate matrices in bioanalytical preclinical safety testing using immunoassay methods: a recommendation from the European Bioanalysis Forum. Bioanalysis. 17(14). 893–898.
3.
Cowan, Kyra J., D. C. Dyer, Morten Carlsen, et al.. (2024). The European Bioanalysis Forum recommendation on establishing appropriate drug tolerance levels in antidrug antibody assays. Bioanalysis. 16(17-18). 915–921. 3 indexed citations
4.
Timmerman, Philip, Matthew Barfield, Kyra J. Cowan, et al.. (2021). Recommendations and Discussion Points on Immunogenicity, Biomarkers, Automation/Technology and Protein–MS From the 2021 European Bioanalysis Forum Focus Workshops. Bioanalysis. 13(19). 1459–1465. 2 indexed citations
5.
Timmerman, Philip, Joanne Goodman, Michaela Golob, et al.. (2020). European Bioanalysis Forum Feedback on Draft ICH M10 Guideline on Bioanalytical Method Validation During the Step 2b Public Consultation Period. Bioanalysis. 12(sup6). 1–11. 8 indexed citations
6.
Goodman, Joanne, Kyra J. Cowan, Michaela Golob, et al.. (2020). Update to the European Bioanalysis Forum Recommendation on Biomarkers Assays; Bringing Context of Use Into Practice. Bioanalysis. 12(20). 1427–1437. 15 indexed citations
7.
Kowalczyk‐Quintas, Christine, Laure Willen, Michaela Golob, et al.. (2019). No interactions between heparin and atacicept, an antagonist of B cell survival cytokines. British Journal of Pharmacology. 176(20). 4019–4033. 7 indexed citations
8.
Pihl, Susanne, et al.. (2019). EBF Recommendation on Practical Management of Critical Reagents for Antidrug Antibody Ligand-Binding Assays. Bioanalysis. 11(19). 1787–1798. 14 indexed citations
9.
Pihl, Susanne, et al.. (2018). EBF Recommendation on Practical Management of Critical Reagents for PK Ligand-Binding Assays. Bioanalysis. 10(19). 1557–1565. 12 indexed citations
10.
Goodman, Joanne, Simon Cowen, Viswanath Devanarayan, et al.. (2018). Feedback from the European Bioanalysis Forum: Focus Workshop on Current Analysis of Immunogenicity: Best Practices and Regulatory Hurdles. Bioanalysis. 10(4). 197–204. 9 indexed citations
11.
Kelley, Marian, Lauren Stevenson, Michaela Golob, et al.. (2015). Workshop Report: AAPS Workshop on Method Development, Validation, and Troubleshooting of Ligand-Binding Assays in the Regulated Environment. The AAPS Journal. 17(4). 1019–1024. 2 indexed citations
13.
Timmerman, Philip, Richard Abbott, Begoña Barroso, et al.. (2012). Conference Report: ‘Less Is More‘: Defining Modern Bioanalysis. Bioanalysis. 4(6). 633–642. 8 indexed citations
14.
Abbott, Richard, Ben Gordon, Peter van Amsterdam, et al.. (2011). Conference Report: from Challenges to Solutions. Bioanalysis. 3(8). 833–838. 5 indexed citations
16.
Poser, Ina, Michaela Golob, Reinhard Buettner, & Anja‐Katrin Bosserhoff. (2003). Upregulation of HMG1 Leads to Melanoma Inhibitory Activity Expression in Malignant Melanoma Cells and Contributes to Their Malignancy Phenotype. Molecular and Cellular Biology. 23(8). 2991–2998. 95 indexed citations
17.
Poser, Ina, et al.. (2002). Down-regulation of COOH-terminal binding protein expression in malignant melanomas leads to induction of MIA expression.. PubMed. 62(20). 5962–6. 17 indexed citations
18.
Golob, Michaela, et al.. (2001). Isolation of invasion-associated cDNAs in melanoma. Archives of Dermatological Research. 293(6). 283–290. 32 indexed citations
19.
Golob, Michaela, Reinhard Buettner, & Anja‐Katrin Bosserhoff. (2000). Characterization of a Transcription Factor Binding Site, Specifically Activating MIA Transcription in Melanoma. Journal of Investigative Dermatology. 115(1). 42–47. 22 indexed citations
20.
Bosserhoff, Anja‐Katrin, Michaela Golob, Reinhard Buettner, Michael Landthaler, & Rüdiger Hein. (1998). MIA („melanoma inhibitory activity”). Der Hautarzt. 49(10). 762–769. 24 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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