Ingo Büssing

965 total citations · 1 hit paper
6 papers, 768 citations indexed

About

Ingo Büssing is a scholar working on Aging, Molecular Biology and Cancer Research. According to data from OpenAlex, Ingo Büssing has authored 6 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Aging, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Ingo Büssing's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), MicroRNA in disease regulation (3 papers) and Selenium in Biological Systems (2 papers). Ingo Büssing is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), MicroRNA in disease regulation (3 papers) and Selenium in Biological Systems (2 papers). Ingo Büssing collaborates with scholars based in Switzerland, Germany and United States. Ingo Büssing's co-authors include Helge Großhans, Frank J. Slack, Monika Fasler, Saibal Chatterjee, Eric C. Lai, Jr-Shiuan Yang, Ralf Schnabel, Anton Gartner, Sandra Moser and Arno F. Alpi and has published in prestigious journals such as The EMBO Journal, Developmental Cell and PLoS Genetics.

In The Last Decade

Ingo Büssing

6 papers receiving 761 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.

let-7 microRNAs in development, stem cells and cancer

2008 506 citations Ingo Büssing, Frank J. Slack et al. Trends in Molecular Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ingo Büssing Switzerland	6	614	470	108	50	35	6	768
Melissa L. Wilbert United States	4	531 0.9×	287 0.6×	48 0.4×	33 0.7×	13 0.4×	5	591
Michelle Boehm United States	3	615 1.0×	562 1.2×	171 1.6×	27 0.5×	23 0.7×	3	795
Rong Guo United States	8	334 0.5×	139 0.3×	125 1.2×	22 0.4×	39 1.1×	14	537
Rachael Nimmo United Kingdom	10	324 0.5×	126 0.3×	88 0.8×	52 1.0×	37 1.1×	16	430
Rajika Arora Switzerland	11	805 1.3×	98 0.2×	78 0.7×	30 0.6×	43 1.2×	15	929
Zhizhuo Zhang Singapore	11	576 0.9×	93 0.2×	40 0.4×	78 1.6×	82 2.3×	12	749
Hristo B Houbaviy United States	6	1.2k 1.9×	870 1.9×	19 0.2×	68 1.4×	33 0.9×	7	1.3k
Maria L. Naylor United States	11	878 1.4×	154 0.3×	137 1.3×	37 0.7×	143 4.1×	32	1.2k
Nathaniel Jillette United States	10	598 1.0×	115 0.2×	27 0.3×	25 0.5×	30 0.9×	13	703
Chiara Alberti Italy	7	246 0.4×	162 0.3×	25 0.2×	48 1.0×	28 0.8×	11	370

Countries citing papers authored by Ingo Büssing

Since Specialization

Citations

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

Fields of papers citing papers by Ingo Büssing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Büssing

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Cabello, Juan, Eva Gómez‐Orte, Tatiana Erazo, et al.. (2014). PDR-1/hParkin negatively regulates the phagocytosis of apoptotic cell corpses in Caenorhabditis elegans. Cell Death and Disease. 5(3). e1120–e1120. 19 indexed citations

2.

Chatterjee, Saibal, Monika Fasler, Ingo Büssing, & Helge Großhans. (2011). Target-Mediated Protection of Endogenous MicroRNAs in C. elegans. Developmental Cell. 20(3). 388–396. 127 indexed citations

3.

Büssing, Ingo, Jr-Shiuan Yang, Eric C. Lai, & Helge Großhans. (2010). The nuclear export receptor XPO-1 supports primary miRNA processing in C. elegans and Drosophila. The EMBO Journal. 29(11). 1830–1839. 60 indexed citations

4.

Moser, Sandra, et al.. (2009). Functional Dissection of Caenorhabditis elegans CLK-2/TEL2 Cell Cycle Defects during Embryogenesis and Germline Development. PLoS Genetics. 5(4). e1000451–e1000451. 40 indexed citations

5.

Büssing, Ingo, Frank J. Slack, & Helge Großhans. (2008). let-7 microRNAs in development, stem cells and cancer. Trends in Molecular Medicine. 14(9). 400–409. 506 indexed citations breakdown →

6.

Karabinoš, Anton, Ingo Büssing, Ekkehard Schulze, et al.. (2003). Functional analysis of the single calmodulin gene in the nematode Caenorhabditis elegans by RNA interference and 4-D microscopy. European Journal of Cell Biology. 82(11). 557–563. 16 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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