Michaela Golob

556 citations
29 papers · 382 · h-index 10

Impact in

Papers in

    • Biosimilars and Bioanalytical Methods 21
    • Advanced Biosensing Techniques and Applications 9
    • Protein purification and stability 5

Michaela Golob

26 papers receiving 366 citations

Peers

Michaela Golob
Comparison fields: 5 of 72
  • Clinical Biochemistry 71
  • Immunology 157
  • Immunology and Allergy 27
  • Biophysics 19
  • Molecular Biology 220
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Udayan Dutta United States
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Jung‐Mo Ahn South Korea
Kiyomi Yamauchi Japan
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Michaela Golob, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michaela Golob Line = papers co-authored together Michaela Golob links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200395
2 201366
3 200132
4 199824
5 200022
6
Down-regulation of COOH-terminal binding protein expression in malignant melanomas leads to induction of MIA expression.
200217
7 202015
8 201914
9 201812
10 201811
11 20189
12 20128
13 20208
14 20197
15 20106
16 20146
17 20115
18 20145
19 20245
20 20154

About Michaela Golob

Michaela Golob is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biophysics and Oncology, having authored 29 papers that have together received 382 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (21 papers), Advanced Biosensing Techniques and Applications (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cell Image Analysis Techniques (5 papers), Protein purification and stability (5 papers), Cell Adhesion Molecules Research (3 papers), CAR-T cell therapy research (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Clinical Biochemistry (71 citations), Immunology (157 citations), Immunology and Allergy (27 citations), Biophysics (19 citations) and Molecular Biology (220 citations). Michaela Golob has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Reinhard Buettner, Anja‐Katrin Bosserhoff, Ina Poser, Philip Timmerman, Peter van Amsterdam, Arjen Companjen, Joanne Goodman, Sandra Müller, Robert Nelson and Michael Landthaler. Their work appears in journals such as Bioanalysis, Annals of the Rheumatic Diseases, Archives of Dermatological Research, Journal of Investigative Dermatology and The AAPS Journal.

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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