David K. Gonda

3.1k citations
15 papers · 2.6k indexed · 1 hit paper · h-index 14
Topics
Ubiquitin and proteasome pathways (7 papers)DNA and Nucleic Acid Chemistry (6 papers)Fungal and yeast genetics research (5 papers)

In The Last Decade

David K. Gonda

15 papers receiving 2.5k citations

Hit Papers

A Multiubiquitin Chain Is Confined to Specific Lysine in ...198920262001201319894008001.2k

Peers

David K. Gonda
Comparison fields: 5 of 90
  • Molecular Biology 2.4k
  • Oncology 635
  • Genetics 451
  • Cell Biology 430
  • Epidemiology 347
Replace A Varshavsky with:
A Varshavsky United States
Katherine Ferrell Germany
Tinglu Guan United States
Alexander Y. Amerik United States
Andor Udvardy Hungary
Meredith B. Metzger United States
Christopher N. Larsen United States
Erika Seemüller Germany
Colin Gordon United Kingdom
Jae Hong Seol South Korea
David K. Gonda relative to A Varshavsky United States A Varshavsky's profile →
Citations per field
00.5×1.5×1.8×
A Varshavsky · 1×
Citations per year

Countries citing papers authored by David K. Gonda

Since Specialization
Citations

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

Fields of papers citing papers by David K. Gonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David K. Gonda. 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 David K. Gonda. The network helps show where David K. Gonda may publish in the future.

Co-authorship network of co-authors of David K. Gonda

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 143
2 140
3 33
4 11
5 67
6 130
7
A Multiubiquitin Chain Is Confined to Specific Lysine in a Targeted Short-Lived Proteinbreakdown →
1215
8 389
9 76
10 79
11 30
12 111
13 24
14 116
15 58

About David K. Gonda

David K. Gonda is a scholar working on Molecular Biology, Cell Biology and Genetics, having authored 15 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), DNA and Nucleic Acid Chemistry (6 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Cell Biology (430 citations) and Oncology (635 citations). David K. Gonda has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Alexander Varshavsky, Andreas Bachmair, John W. Tobias, David J. Ecker, Vincent Chau, David Marriott, Charles M. Radding, W S Lane, A Varshavsky and J Flory. Their work appears in journals such as Nature, Science and Cell.

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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