Julia Blümer

733 total citations
10 papers, 587 citations indexed

About

Julia Blümer is a scholar working on Molecular Biology, Cell Biology and Endocrinology. According to data from OpenAlex, Julia Blümer has authored 10 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Endocrinology. Recurrent topics in Julia Blümer's work include Legionella and Acanthamoeba research (3 papers), Chemical Synthesis and Analysis (2 papers) and Autophagy in Disease and Therapy (2 papers). Julia Blümer is often cited by papers focused on Legionella and Acanthamoeba research (3 papers), Chemical Synthesis and Analysis (2 papers) and Autophagy in Disease and Therapy (2 papers). Julia Blümer collaborates with scholars based in Germany, United States and France. Julia Blümer's co-authors include Aymelt Itzen, Roger S. Goody, Matthias Müller, Wulf Blankenfeldt, Yao‐Wen Wu, Tomáš Mazel, Leif Dehmelt, Philippe I. H. Bastiaens, Geneviève Almouzni and Kerstin Klare and has published in prestigious journals such as Science, Angewandte Chemie International Edition and The Journal of Cell Biology.

In The Last Decade

Julia Blümer

10 papers receiving 584 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Blümer Germany	8	377	220	193	93	74	10	587
Sissy Kalayil Germany	9	504 1.3×	160 0.7×	198 1.0×	151 1.6×	294 4.0×	9	816
Lena K. Oesterlin Germany	11	302 0.8×	223 1.0×	155 0.8×	86 0.9×	74 1.0×	11	510
Anju Sreelatha United States	9	224 0.6×	76 0.3×	130 0.7×	69 0.7×	60 0.8×	18	467
Jonas Bergan Norway	13	337 0.9×	147 0.7×	208 1.1×	145 1.6×	29 0.4×	18	640
Jens Jäger Germany	8	352 0.9×	129 0.6×	121 0.6×	75 0.8×	82 1.1×	10	546
Monika Słomińska-Wojewódzka Poland	18	365 1.0×	134 0.6×	53 0.3×	186 2.0×	82 1.1×	26	720
Ninghai Gan United States	10	204 0.5×	42 0.2×	195 1.0×	109 1.2×	116 1.6×	13	407
Siau‐Kun Bai France	7	263 0.7×	133 0.6×	52 0.3×	114 1.2×	40 0.5×	7	459
Maureen Tarsio United States	17	607 1.6×	154 0.7×	18 0.1×	41 0.4×	160 2.2×	26	845
Mirjam Ketema Netherlands	7	482 1.3×	222 1.0×	35 0.2×	61 0.7×	62 0.8×	7	677

Countries citing papers authored by Julia Blümer

Since Specialization

Citations

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

Fields of papers citing papers by Julia Blümer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Blümer

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

All Works

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10 of 10 papers shown

1.

Tachiwana, Hiroaki, et al.. (2015). HJURP Involvement in De Novo CenH3CENP-A and CENP-C Recruitment. Cell Reports. 11(1). 22–32. 70 indexed citations

2.

Blümer, Julia, Leif Dehmelt, Tomáš Mazel, et al.. (2013). RabGEFs are a major determinant for specific Rab membrane targeting. The Journal of Cell Biology. 200(3). 287–300. 147 indexed citations

3.

Blümer, Julia, Yao‐Wen Wu, Roger S. Goody, & Aymelt Itzen. (2012). Specific localization of Rabs at intracellular membranes. Biochemical Society Transactions. 40(6). 1421–1425. 5 indexed citations

4.

Blümer, Julia, et al.. (2011). Efficient Synthesis and Applications of Peptides containing Adenylylated Tyrosine Residues. Angewandte Chemie International Edition. 50(39). 9200–9204. 17 indexed citations

5.

Goody, Roger S., Matthias Müller, Stefan Schoebel, et al.. (2011). The versatile Legionella effector protein DrrA.. PubMed. 4(1). 72–4. 12 indexed citations

6.

Blümer, Julia, et al.. (2011). Effiziente Synthese und Anwendung von Peptiden mit adenylylierten Tyrosinresten. Angewandte Chemie. 123(39). 9367–9371. 3 indexed citations

7.

Goody, Roger S., Matthias Müller, Stefan Schoebel, et al.. (2011). The versatile Legionella effector protein DrrA. Communicative & Integrative Biology. 4(1). 72–74. 12 indexed citations

8.

Müller, Matthias, et al.. (2010). The Legionella Effector Protein DrrA AMPylates the Membrane Traffic Regulator Rab1b. Science. 329(5994). 946–949. 283 indexed citations

9.

Gronewold, Thomas M. A., Saleta Sierra, Michael Blind, et al.. (2009). Kinetic Binding Analysis of Aptamers Targeting HIV-1 Proteins by a Combination of a Microbalance Array and Mass Spectrometry (MAMS). Journal of Proteome Research. 8(7). 3568–3577. 22 indexed citations

10.

Schäfer, Frank, et al.. (2002). Automated high-throughput purification of 6xHis-tagged proteins.. PubMed. 13(3). 131–42. 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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