Gerald Marsischky

6.0k total citations · 3 hit papers
14 papers, 4.7k citations indexed

About

Gerald Marsischky is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Gerald Marsischky has authored 14 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Gerald Marsischky's work include Genetic factors in colorectal cancer (6 papers), DNA Repair Mechanisms (5 papers) and Fungal and yeast genetics research (3 papers). Gerald Marsischky is often cited by papers focused on Genetic factors in colorectal cancer (6 papers), DNA Repair Mechanisms (5 papers) and Fungal and yeast genetics research (3 papers). Gerald Marsischky collaborates with scholars based in United States and China. Gerald Marsischky's co-authors include Richard D. Kolodner, Michael Kane, Junmin Peng, Daniel Schwartz, Dongmei Cheng, Daniel Finley, Joshua E. Elias, Jeroen Roelofs, Carson C. Thoreen and Steven P. Gygi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Gerald Marsischky

14 papers receiving 4.7k citations

Hit Papers

A proteomics approach to understanding protein ubiquitina... 1999 2026 2008 2017 2003 2006 1999 400 800 1.2k

Peers

Gerald Marsischky
Comparison fields: 5 of 104
  • Molecular Biology 3.4k
  • Pathology and Forensic Medicine 1.4k
  • Oncology 857
  • Neurology 723
  • Cancer Research 711
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Nicholas A. Morrice United Kingdom View profile →
Citations per field, relative to Gerald Marsischky
Gerald Marsischky · 1×
Citations per year, relative to Gerald Marsischky
Gerald Marsischky · 1×

Countries citing papers authored by Gerald Marsischky

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Marsischky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Marsischky

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 8
2
α-Synuclein Blocks ER-Golgi Traffic and Rab1 Rescues Neuron Loss in Parkinson's Models breakdown →
1064
3 77
4 100
5
A proteomics approach to understanding protein ubiquitination breakdown →
1302
6 35
7 196
8 52
9 115
10
Eukaryotic DNA mismatch repair breakdown →
693
11 482
12 453
13 141
14 25

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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2026