Robbert Q. Kim

843 citations
23 papers · 583 · h-index 12

Impact in

Papers in

    • Ubiquitin and proteasome pathways 9
    • Biochemical and Molecular Research 5
    • Histone Deacetylase Inhibitors Research 3
    • Peptidase Inhibition and Analysis 5
    • Cancer-related Molecular Pathways 3

Robbert Q. Kim

22 papers receiving 578 citations

Peers

Robbert Q. Kim
Comparison fields: 5 of 77
  • Biotechnology 74
  • Molecular Biology 400
  • Physiology 25
  • Oncology 135
  • Inorganic Chemistry 49
Replace Miha Butinar with:
Miha Butinar Slovenia
Lawrence Davies United Kingdom
Michael F. Belcourt United States
Chien‐Fu Liang Taiwan
Virginia Appleyard United Kingdom
Soňa Gurská Czechia
B W. Thuronyi United States
Christopher W. Kemp United States
Ljudmila Borissenko Germany
Robbert Q. Kim relative to Miha Butinar Slovenia Miha Butinar's profile →
Citations per field
00.5×4.3×
Miha Butinar · 1×
Citations per year

Countries citing papers authored by Robbert Q. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Robbert Q. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robbert Q. Kim. 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 Robbert Q. Kim. The network helps show where Robbert Q. Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Robbert Q. Kim, 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 Robbert Q. Kim Line = papers co-authored together Robbert Q. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013157
2 201777
3 202267
4 202146
5 201643
6 201931
7 202127
8 200719
9 202218
10 202212
11 202311
12 201311
13 202311
14 202010
15 20239
16 20198
17 20207
18 20236
19 20235
20 20243

About Robbert Q. Kim

Robbert Q. Kim is a scholar working on Molecular Biology, Oncology, Epidemiology, Materials Chemistry and Organic Chemistry, having authored 23 papers that have together received 583 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Biochemical and Molecular Research (5 papers), Peptidase Inhibition and Analysis (5 papers), Autophagy in Disease and Therapy (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer-related Molecular Pathways (3 papers), Click Chemistry and Applications (3 papers) and Calcium signaling and nucleotide metabolism (2 papers). The work is most often cited by research in Biotechnology (74 citations), Molecular Biology (400 citations), Physiology (25 citations), Oncology (135 citations) and Inorganic Chemistry (49 citations). Robbert Q. Kim has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Titia K. Sixma, Monique P. C. Mulder, Elma Mons, G.J. Davies, G.R. Hemsworth, Edward J. Taylor, Willem J. van Dijk, J.P. Turkenburg, Paul H. Walton and Alison Parkin. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Journal of Medicinal Chemistry, Inorganic Chemistry and Journal of Structural Biology.

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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