Hannes Grabner

1.6k total citations · 1 hit paper
6 papers, 1.2k citations indexed

About

Hannes Grabner is a scholar working on Molecular Biology, Cell Biology and Insect Science. According to data from OpenAlex, Hannes Grabner has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Insect Science. Recurrent topics in Hannes Grabner's work include Cellular transport and secretion (2 papers), Insect Pheromone Research and Control (2 papers) and Pesticide Residue Analysis and Safety (1 paper). Hannes Grabner is often cited by papers focused on Cellular transport and secretion (2 papers), Insect Pheromone Research and Control (2 papers) and Pesticide Residue Analysis and Safety (1 paper). Hannes Grabner collaborates with scholars based in Germany, United States and Canada. Hannes Grabner's co-authors include Bianca Habermann, Eugenio Fava, Marino Zerial, Michael Hannus, Eberhard Krausz, Lucas Pelkmans, Laurence Pelletier, Frank Buchholz, Ralf Kittler and Anne‐Kristin Heninger and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Cell Biology.

In The Last Decade

Hannes Grabner

4 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome-wide analysis of human kinases in clathrin- and caveolae/raft-mediated endocytosis

2005 500 citations Lucas Pelkmans, Eugenio Fava et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hannes Grabner Germany	4	935	405	108	95	75	6	1.2k
Einar Hallberg Sweden	21	1.6k 1.7×	274 0.7×	155 1.4×	47 0.5×	56 0.7×	56	1.8k
Carl Co United States	9	859 0.9×	664 1.6×	91 0.8×	79 0.8×	41 0.5×	14	1.2k
Thomas W. Marshall United States	8	645 0.7×	261 0.6×	133 1.2×	40 0.4×	48 0.6×	9	925
Eberhard Krausz Germany	14	930 1.0×	276 0.7×	175 1.6×	127 1.3×	92 1.2×	20	1.3k
Carmen Valente Italy	19	924 1.0×	630 1.6×	77 0.7×	106 1.1×	35 0.5×	34	1.4k
Nathalie Lamarche Canada	9	660 0.7×	416 1.0×	110 1.0×	24 0.3×	51 0.7×	10	925
Gerald Latter United States	18	1.2k 1.3×	230 0.6×	188 1.7×	26 0.3×	55 0.7×	29	1.5k
Natalie Porat‐Shliom United States	16	864 0.9×	549 1.4×	62 0.6×	105 1.1×	66 0.9×	26	1.4k
Wilma A. Hofmann United States	15	1.2k 1.3×	454 1.1×	90 0.8×	22 0.2×	59 0.8×	35	1.5k
Ramsey A. Saleem United States	22	1.1k 1.2×	146 0.4×	159 1.5×	25 0.3×	55 0.7×	32	1.2k

Countries citing papers authored by Hannes Grabner

Since Specialization

Citations

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

Fields of papers citing papers by Hannes Grabner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Grabner

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

All Works

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6 of 6 papers shown

1.

Kittler, Ralf, Laurence Pelletier, Anne‐Kristin Heninger, et al.. (2007). Genome-scale RNAi profiling of cell division in human tissue culture cells. Nature Cell Biology. 9(12). 1401–1412. 233 indexed citations

2.

Prószyński, Tomasz J., Robin W. Klemm, Peggy P. Hsu, et al.. (2005). A genome-wide visual screen reveals a role for sphingolipids and ergosterol in cell surface delivery in yeast. Proceedings of the National Academy of Sciences. 102(50). 17981–17986. 117 indexed citations

3.

Pelkmans, Lucas, Eugenio Fava, Hannes Grabner, et al.. (2005). Genome-wide analysis of human kinases in clathrin- and caveolae/raft-mediated endocytosis. Nature. 436(7047). 78–86. 500 indexed citations breakdown →

4.

Kittler, Ralf, Gabriele Putz, Laurence Pelletier, et al.. (2004). An endoribonuclease-prepared siRNA screen in human cells identifies genes essential for cell division. Nature. 432(7020). 1036–1040. 317 indexed citations

5.

Grabner, Hannes, et al.. (1984). Studies on useability pheromone baited traps as indicators for some species of moths (Lep., Pyraloidea) attacking stored products. 1 indexed citations

6.

Grabner, Hannes, et al.. (1984). Untersuchungen über die Verwendung von Pheromonfallen als Befallsindikatoren bei einigen vorratsschädlichen Zünslerarten (Lep., Pyraloidea). Journal of Pest Science. 57(8). 150–153. 1 indexed citations

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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