Tanja Gerlza

29 total papers · 467 total citations
24 papers, 347 citations indexed

About

Tanja Gerlza is a scholar working on Cell Biology, Oncology and Molecular Biology. According to data from OpenAlex, Tanja Gerlza has authored 24 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cell Biology, 12 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Tanja Gerlza's work include Proteoglycans and glycosaminoglycans research (15 papers), Chemokine receptors and signaling (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Tanja Gerlza is often cited by papers focused on Proteoglycans and glycosaminoglycans research (15 papers), Chemokine receptors and signaling (10 papers) and Glycosylation and Glycoproteins Research (9 papers). Tanja Gerlza collaborates with scholars based in Austria, Brazil and Belgium. Tanja Gerlza's co-authors include Andreas J. Kungl, Tiziana Adage, Martha Gschwandtner, Alexander Deutsch, Christine Beham‐Schmid, Peter Neumeister, Helmut Schaider, Mauro Martins Teixeira, Nicole Hofmann and Dirk Strunk and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Tanja Gerlza

23 papers receiving 343 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tanja Gerlza	141	105	104	85	58	24	347
Lucia Lospalluti	161 1.1×	62 0.6×	102 1.0×	60 0.7×	25 0.4×	33	382
Toshiyuki Ikemoto	63 0.4×	136 1.3×	77 0.7×	46 0.5×	19 0.3×	35	353
E Wolff	74 0.5×	102 1.0×	192 1.8×	73 0.9×	40 0.7×	17	398
Connie Qiu	53 0.4×	78 0.7×	117 1.1×	37 0.4×	43 0.7×	14	365
Corinna U. Keber	100 0.7×	72 0.7×	128 1.2×	35 0.4×	27 0.5×	22	365
Yong Shao	86 0.6×	97 0.9×	152 1.5×	17 0.2×	54 0.9×	28	359
Jei‐Ming Peng	75 0.5×	48 0.5×	219 2.1×	46 0.5×	21 0.4×	20	397
Jordi Graells	171 1.2×	50 0.5×	199 1.9×	34 0.4×	40 0.7×	24	381
Eun Gene Sun	97 0.7×	108 1.0×	198 1.9×	32 0.4×	35 0.6×	25	378
K. Sasaki	81 0.6×	117 1.1×	142 1.4×	25 0.3×	40 0.7×	28	400

Countries citing papers authored by Tanja Gerlza

Since Specialization

Citations

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

Fields of papers citing papers by Tanja Gerlza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Gerlza

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

All Works

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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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