Daniel Trambaiolo

650 total citations
8 papers, 531 citations indexed

About

Daniel Trambaiolo is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Daniel Trambaiolo has authored 8 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Daniel Trambaiolo's work include Bacterial Genetics and Biotechnology (2 papers), Ubiquitin and proteasome pathways (2 papers) and Microbial metabolism and enzyme function (2 papers). Daniel Trambaiolo is often cited by papers focused on Bacterial Genetics and Biotechnology (2 papers), Ubiquitin and proteasome pathways (2 papers) and Microbial metabolism and enzyme function (2 papers). Daniel Trambaiolo collaborates with scholars based in United Kingdom, United States and Australia. Daniel Trambaiolo's co-authors include Jan Löwe, María A. Oliva, Satoshi Hirano, Harald Stenmark, Soichi Wakatsuki, Thomas Slagsvold, Kristi G. Bache, Rein Aasland, Camilla Raiborg and Debnath Ghosal and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Daniel Trambaiolo

7 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Trambaiolo United Kingdom	7	361	219	172	97	54	8	531
Marc Preuss Germany	9	744 2.1×	78 0.4×	164 1.0×	38 0.4×	23 0.4×	10	886
Agnieszka Mateja United States	13	816 2.3×	429 2.0×	241 1.4×	31 0.3×	43 0.8×	14	1.1k
Bruno Collinet France	17	687 1.9×	77 0.4×	162 0.9×	84 0.9×	20 0.4×	27	806
Matthijs Kol Germany	12	514 1.4×	141 0.6×	66 0.4×	21 0.2×	71 1.3×	18	595
B. Benoff United States	3	278 0.8×	52 0.2×	153 0.9×	48 0.5×	86 1.6×	5	390
Manuel Bauer Switzerland	6	916 2.5×	392 1.8×	300 1.7×	84 0.9×	30 0.6×	7	1.1k
Ryogo Hirata Japan	15	1.2k 3.4×	260 1.2×	72 0.4×	45 0.5×	19 0.4×	17	1.4k
C. Davies United States	12	678 1.9×	106 0.5×	125 0.7×	55 0.6×	23 0.4×	18	830
Jorge B. Schvartzman Spain	23	1.4k 3.7×	161 0.7×	280 1.6×	138 1.4×	19 0.4×	60	1.6k
Igor Tascón Spain	11	271 0.8×	56 0.3×	75 0.4×	24 0.2×	13 0.2×	17	412

Countries citing papers authored by Daniel Trambaiolo

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Trambaiolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Trambaiolo

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

All Works

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8 of 8 papers shown

1.

Trambaiolo, Daniel. (2022). Translating the Inner Landscape. Osiris. 37. 163–191.

2.

Ghosal, Debnath, Daniel Trambaiolo, Linda Amos, & Jan Löwe. (2014). MinCD cell division proteins form alternating copolymeric cytomotive filaments. Nature Communications. 5(1). 5341–5341. 64 indexed citations

3.

Läppchen, Tilman, Aloysius F. Hartog, Gerrit‐Jan Koomen, et al.. (2008). Probing FtsZ and Tubulin with C8-Substituted GTP Analogs Reveals Differences in Their Nucleotide Binding Sites. Chemistry & Biology. 15(2). 189–199. 74 indexed citations

4.

Langley, David B., Daniel Trambaiolo, Anthony P. Duff, et al.. (2008). Complexes of the copper-containing amine oxidase fromArthrobacter globiformiswith the inhibitors benzylhydrazine and tranylcypromine. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 64(7). 577–583. 10 indexed citations

5.

Oliva, María A., Daniel Trambaiolo, & Jan Löwe. (2007). Structural Insights into the Conformational Variability of FtsZ. Journal of Molecular Biology. 373(5). 1229–1242. 144 indexed citations

6.

Hirano, Satoshi, Nobuhiro Suzuki, Thomas Slagsvold, et al.. (2006). Structural basis of ubiquitin recognition by mammalian Eap45 GLUE domain. Nature Structural & Molecular Biology. 13(11). 1031–1032. 45 indexed citations

7.

Slagsvold, Thomas, Rein Aasland, Satoshi Hirano, et al.. (2005). Eap45 in Mammalian ESCRT-II Binds Ubiquitin via a Phosphoinositide-interacting GLUE Domain. Journal of Biological Chemistry. 280(20). 19600–19606. 144 indexed citations

8.

Duff, Anthony P., Daniel Trambaiolo, Aina E. Cohen, et al.. (2004). Using Xenon as a Probe for Dioxygen-binding Sites in Copper Amine Oxidases. Journal of Molecular Biology. 344(3). 599–607. 50 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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