Robert Rybczynski

3.3k citations
37 papers · 2.7k · h-index 28

Impact in

Papers in

Robert Rybczynski

35 papers receiving 2.7k citations

Peers

Robert Rybczynski
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 2.0k
  • Insect Science 1.3k
  • Aging 85
  • Genetics 799
  • Ecology, Evolution, Behavior and Systematics 364
Replace Manfred Eckert with:
Manfred Eckert Germany
Geoffrey M. Coast United Kingdom
Jean‐Luc Plassat France
Gaiti Hasan India
G.Mark Holman United States
Walter E. Bollenbacher United States
Yaël Grosjean France
Kiyoshi Hiruma United States
Timothy K. Hayes United States
Michael Bender United States
Robert Rybczynski relative to Manfred Eckert Germany Manfred Eckert's profile →
Citations per field
00.5×4.5×
Manfred Eckert · 1×
Citations per year

Countries citing papers authored by Robert Rybczynski

Since Specialization
Citations

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

Fields of papers citing papers by Robert Rybczynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002432
2 2006267
3 1991196
4 2005144
5 2006140
6 1998126
7 1996124
8 2005122
9 200695
10 198987
11 200176
12 199074
13 200971
14 200667
15 198566
16 201563
17 199459
18 200552
19 199049
20 200047

About Robert Rybczynski

Robert Rybczynski is a scholar working on Cellular and Molecular Neuroscience, Insect Science, Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (31 papers), Insect Utilization and Effects (19 papers), Insect and Arachnid Ecology and Behavior (8 papers), Animal Behavior and Reproduction (5 papers), Insect and Pesticide Research (4 papers), Physiological and biochemical adaptations (4 papers), Insect Resistance and Genetics (3 papers) and Insect Pheromone Research and Control (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Insect Science (1.3k citations), Aging (85 citations), Genetics (799 citations) and Ecology, Evolution, Behavior and Systematics (364 citations). Robert Rybczynski has collaborated with scholars based in United States, Japan and Denmark. Frequent co-authors include Lawrence I. Gilbert, James T. Warren, M R Lerner, Kim Rewitz, Richard G. Vogt, Vincent C. Henrich, Stephen S. Tobe, Michael B. O’Connor, Jerry W. Reagan and Michael R. Lerner. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Molecular and Cellular Endocrinology, Developmental Biology, Journal of Neuroscience and Annual Review of Entomology.

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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