Robert V. Kolakowski

16 total papers · 468 total citations
11 papers, 387 citations indexed

About

Robert V. Kolakowski is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Robert V. Kolakowski has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 7 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Robert V. Kolakowski's work include Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Robert V. Kolakowski is often cited by papers focused on Chemical Synthesis and Analysis (3 papers), Click Chemistry and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Robert V. Kolakowski collaborates with scholars based in United States. Robert V. Kolakowski's co-authors include Lawrence J. Williams, Ning Shangguan, Ronald R. Sauers, Sreenivas Katukojvala, Scott C. Jeffrey, Peter D. Senter, Yue Zhang, Thomas J. Emge, Madhuri Manpadi and Kim K. Emmerton and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Chemistry.

In The Last Decade

Robert V. Kolakowski

10 papers receiving 378 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert V. Kolakowski 331 248 46 41 40 11 387
Igor Nasibullin 194 0.6× 211 0.9× 37 0.8× 20 0.5× 22 0.6× 16 341
Eliezer Falb 242 0.7× 240 1.0× 44 1.0× 25 0.6× 19 0.5× 14 387
Mark B. Sassaman 222 0.7× 100 0.4× 18 0.4× 58 1.4× 57 1.4× 15 351
Madhup K. Dhaon 188 0.6× 226 0.9× 29 0.6× 12 0.3× 19 0.5× 14 344
Victor J. Grenda 269 0.8× 105 0.4× 90 2.0× 42 1.0× 42 1.1× 10 423
I. D. KULESHA 206 0.6× 307 1.2× 32 0.7× 35 0.9× 17 0.4× 12 438
Sanjib Das 281 0.8× 109 0.4× 37 0.8× 65 1.6× 35 0.9× 25 420
Young Shin Cho 275 0.8× 248 1.0× 105 2.3× 35 0.9× 20 0.5× 16 444
Kalie A. Mix 275 0.8× 237 1.0× 28 0.6× 24 0.6× 17 0.4× 6 426
Salvador G. Alvarez 323 1.0× 143 0.6× 17 0.4× 19 0.5× 74 1.9× 6 385

Countries citing papers authored by Robert V. Kolakowski

Since Specialization
Citations

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

Fields of papers citing papers by Robert V. Kolakowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert V. Kolakowski. 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 Robert V. Kolakowski. The network helps show where Robert V. Kolakowski may publish in the future.

Co-authorship network of co-authors of Robert V. Kolakowski

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

All Works

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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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