Johanna Goldmann

3.2k citations
10 papers · 1.7k indexed · 2 hit papers · h-index 8
Topics
Pluripotent Stem Cells Research (7 papers)CRISPR and Genetic Engineering (6 papers)Genomics and Chromatin Dynamics (3 papers)

In The Last Decade

Johanna Goldmann

10 papers receiving 1.7k citations

Hit Papers

Activation of proto-oncogenes by disruption of chromosome...201620262019202220162016200400600

Peers

Johanna Goldmann
Comparison fields: 5 of 105
  • Molecular Biology 1.5k
  • Genetics 265
  • Plant Science 165
  • Neurology 147
  • Cancer Research 147
Replace Emily M. Hatch with:
Emily M. Hatch United States
Dennis J. Hazelett United States
Yonatan Stelzer Israel
Kehkooi Kee China
Tomonori Nakamura Japan
Shin‐ichiro Hiraga Japan
Yumei Li United States
Michaela Patterson United States
Kristofer Davie Belgium
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Johanna Goldmann relative to Emily M. Hatch United States Emily M. Hatch's profile →
Citations per field
00.5×1.5×
Emily M. Hatch · 1×
Citations per year

Countries citing papers authored by Johanna Goldmann

Since Specialization
Citations

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

Fields of papers citing papers by Johanna Goldmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johanna Goldmann

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 15
2 5
3
Dynamics of lineage commitment revealed by single-cell transcriptomics of differentiating embryonic stem cells
4
4 122
5
Activation of proto-oncogenes by disruption of chromosome neighborhoodsbreakdown →
679
6
Parkinson-associated risk variant in distal enhancer of α-synuclein modulates target gene expressionbreakdown →
394
7 43
8 58
9 319
10 104

About Johanna Goldmann

Johanna Goldmann is a scholar working on Molecular Biology, Cancer Research and Cognitive Neuroscience, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), CRISPR and Genetic Engineering (6 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Aging (26 citations) and Cancer Research (147 citations). Johanna Goldmann has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Rudolf Jaenisch, Richard A. Young, Jeanne F. Loring, Frank Müller, Chikdu Shivalila, Charles H. Li, Zi Peng Fan, Bryan R. Lajoie, Anne-Laure Valton and Jessica Reddy. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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