Rita Lang

5.0k total citations · 1 hit paper
7 papers, 4.5k citations indexed

About

Rita Lang is a scholar working on Molecular Biology, Nephrology and Epidemiology. According to data from OpenAlex, Rita Lang has authored 7 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Nephrology and 2 papers in Epidemiology. Recurrent topics in Rita Lang's work include Urinary Tract Infections Management (2 papers), Dialysis and Renal Disease Management (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Rita Lang is often cited by papers focused on Urinary Tract Infections Management (2 papers), Dialysis and Renal Disease Management (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Rita Lang collaborates with scholars based in Austria, Australia and Sweden. Rita Lang's co-authors include François Denizot, Sabina Baumgartner‐Parzer, H. Vierhapper, Ludwig Wagner, Bruno Niederle, Georg Heinze, W Waldhäusl, Klaus Kaserer, Gottfried Fischer and Stephanie Kleinle and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Immunological Methods and Nephrology Dialysis Transplantation.

In The Last Decade

Rita Lang

7 papers receiving 4.4k 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.

Rapid colorimetric assay for cell growth and survival

1986 4.4k citations François Denizot, Rita Lang Journal of Immunological Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rita Lang Austria	5	1.8k	929	493	407	388	7	4.5k
M. Moshahid A. Rizvi India	36	1.5k 0.8×	791 0.9×	505 1.0×	251 0.6×	454 1.2×	188	4.6k
V.G.M. Naidu India	45	2.3k 1.2×	1.5k 1.7×	592 1.2×	526 1.3×	435 1.1×	146	5.8k
Masuo Kondoh Japan	40	2.1k 1.2×	349 0.4×	540 1.1×	382 0.9×	361 0.9×	212	5.6k
Kanyawim Kirtikara Thailand	26	2.0k 1.1×	843 0.9×	551 1.1×	1.0k 2.5×	700 1.8×	48	4.7k
An S. Tan New Zealand	20	1.8k 1.0×	426 0.5×	339 0.7×	233 0.6×	347 0.9×	29	4.3k
Carmela Fimognari Italy	38	2.6k 1.4×	710 0.8×	454 0.9×	316 0.8×	771 2.0×	145	5.0k
Kyôko Takahashi Japan	40	1.9k 1.0×	787 0.8×	275 0.6×	226 0.6×	192 0.5×	209	5.0k
Jung‐Ae Kim South Korea	41	3.3k 1.8×	538 0.6×	517 1.0×	573 1.4×	563 1.5×	173	6.3k
Jisnuson Svasti Thailand	41	2.9k 1.5×	544 0.6×	460 0.9×	275 0.7×	789 2.0×	295	5.6k
Ching‐Feng Weng Taiwan	39	1.7k 0.9×	336 0.4×	309 0.6×	655 1.6×	480 1.2×	189	5.2k

Countries citing papers authored by Rita Lang

Since Specialization

Citations

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

Fields of papers citing papers by Rita Lang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Lang

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

All Works

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7 of 7 papers shown

1.

Freire, Raimundo, Daniela D. Pollak, Klaus G. Schmetterer, et al.. (2022). Preclinical Establishment of a Divalent Vaccine against SARS-CoV-2. Vaccines. 10(4). 516–516. 5 indexed citations

2.

Pichler, Peter, Alexander Zimprich, Christoph Hotzy, et al.. (2020). The urinary microbiome shows different bacterial genera in renal transplant recipients and non-transplant patients at time of acute kidney injury – a pilot study. BMC Nephrology. 21(1). 117–117. 16 indexed citations

3.

Winnicki, Wolfgang, Alexander Zimprich, Christoph Hotzy, et al.. (2019). FP247The urinary microbiome during acute kidney injury in renal transplant recipients versus non-transplant recipients. Nephrology Dialysis Transplantation. 34(Supplement_1). 1 indexed citations

4.

Kleinle, Stephanie, Rita Lang, Gottfried Fischer, et al.. (2009). Duplications of the FunctionalCYP21A2Gene Are Primarily Restricted to Q318X Alleles: Evidence for a Founder Effect. The Journal of Clinical Endocrinology & Metabolism. 94(10). 3954–3958. 44 indexed citations

5.

Baumgartner‐Parzer, Sabina, Rita Lang, Ludwig Wagner, et al.. (2005). Polymorphisms in Exon 13 and Intron 14 of the RET Protooncogene: Genetic Modifiers of Medullary Thyroid Carcinoma?. The Journal of Clinical Endocrinology & Metabolism. 90(11). 6232–6236. 57 indexed citations

6.

Lang, Rita, et al.. (1992). The Use of Atrial Electrograms in the Diagnosis of Supraventricular Dysrhythmias. AACN Advanced Critical Care. 3(1). 203–208. 2 indexed citations

7.

Denizot, François & Rita Lang. (1986). Rapid colorimetric assay for cell growth and survival. Journal of Immunological Methods. 89(2). 271–277. 4405 indexed citations breakdown →

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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