Annika Lehmann

2.2k total citations
40 papers, 1.2k citations indexed

About

Annika Lehmann is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Annika Lehmann has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 14 papers in Cancer Research. Recurrent topics in Annika Lehmann's work include Cancer Genomics and Diagnostics (11 papers), Colorectal Cancer Treatments and Studies (9 papers) and Lung Cancer Treatments and Mutations (7 papers). Annika Lehmann is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Colorectal Cancer Treatments and Studies (9 papers) and Lung Cancer Treatments and Mutations (7 papers). Annika Lehmann collaborates with scholars based in Germany, United States and Switzerland. Annika Lehmann's co-authors include Manfred Dietel, Carsten Denkert, Jan Budczies, Wilko Weichert, Berit Müller, Michael Hummel, Judith Prinzler, Christine Sers, Frederick Klauschen and Klaus‐Jürgen Winzer and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Annika Lehmann

37 papers receiving 1.1k citations

Peers

Annika Lehmann
Gregory Friberg United States
Stephen P. Anthony United States
Francine B. de Abreu United States
Marlies H.G. Langenberg Netherlands
Yi-Zhou Jiang China
Dmitriy Sonkin United States
Amélie Boichard United States
Iván Díaz-Padilla United States
Aphrothiti J. Hanrahan United States
Ion Cristóbal Spain
Gregory Friberg United States
Annika Lehmann
Citations per year, relative to Annika Lehmann Annika Lehmann (= 1×) peers Gregory Friberg

Countries citing papers authored by Annika Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Annika Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annika Lehmann

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

All Works

20 of 20 papers shown
1.
Vollbrecht, Claudia, Inga Hoffmann, Annika Lehmann, et al.. (2022). Proficiency testing of PIK3CA mutations in HR+/HER2-breast cancer on liquid biopsy and tissue. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 482(4). 697–706. 8 indexed citations
2.
Jovanović, Vladimir, Annika Lehmann, Hedwig Lammert, et al.. (2022). Response prediction in patients with gastric and esophagogastric adenocarcinoma under neoadjuvant chemotherapy using targeted gene expression analysis and next-generation sequencing in pre-therapeutic biopsies. Journal of Cancer Research and Clinical Oncology. 149(3). 1049–1061. 3 indexed citations
3.
Bischoff, Philip, Alexandra Trinks, Benedikt Obermayer, et al.. (2021). Single-cell RNA sequencing reveals distinct tumor microenvironmental patterns in lung adenocarcinoma. Oncogene. 40(50). 6748–6758. 131 indexed citations
4.
Jank, Paul, Judith Lindner, Annika Lehmann, et al.. (2021). Comparison of risk assessment in 1652 early ER positive, HER2 negative breast cancer in a real-world data set: classical pathological parameters vs. 12-gene molecular assay (EndoPredict). Breast Cancer Research and Treatment. 191(2). 327–333. 1 indexed citations
5.
Ihlow, Jana, Edward Michaelis, Selina Greuel, et al.. (2021). B cell depletion and signs of sepsis-acquired immunodeficiency in bone marrow and spleen of COVID-19 deceased. International Journal of Infectious Diseases. 103. 628–635. 14 indexed citations
6.
Lehmann, Annika, Frederick Klauschen, Michael Hummel, et al.. (2019). Clinical Impact of Rare and Compound Mutations of Epidermal Growth Factor Receptor in Patients With Non–Small-Cell Lung Cancer. Clinical Lung Cancer. 20(5). 350–362.e4. 10 indexed citations
7.
Vollbrecht, Claudia, Dido Lenze, Michael Hummel, et al.. (2018). RNA-based analysis of ALK fusions in non-small cell lung cancer cases showing IHC/FISH discordance. BMC Cancer. 18(1). 1158–1158. 17 indexed citations
8.
Jöhrens, Korinna, Frederick Klauschen, Michael Hummel, et al.. (2018). Intratumoral morphological heterogeneity can be an indicator of genetic heterogeneity in colorectal cancer. Experimental and Molecular Pathology. 104(1). 76–81. 8 indexed citations
9.
Schiefer, Ana‐Iris, Ildikó Mesteri, Oskar Koperek, et al.. (2016). Multicenter Evaluation of a Novel Automated Rapid Detection System of BRAF Status in Formalin-Fixed, Paraffin-Embedded Tissues. Journal of Molecular Diagnostics. 18(3). 370–377. 26 indexed citations
10.
Lehmann, Annika, et al.. (2015). Diversity Education als Querschnittsaufgabe.
11.
Arsenić, Ruža, Denise Treue, Annika Lehmann, et al.. (2015). Comparison of targeted next-generation sequencing and Sanger sequencing for the detection of PIK3CA mutations in breast cancer. BMC Clinical Pathology. 15(1). 20–20. 55 indexed citations
12.
Dietel, Manfred, Korinna Jöhrens, Maximilian von Laffert, et al.. (2015). A 2015 update on predictive molecular pathology and its role in targeted cancer therapy: a review focussing on clinical relevance. Cancer Gene Therapy. 22(9). 417–430. 102 indexed citations
13.
Lohneis, Philipp, Şengül Boral, Andreas M. Kaufmann, et al.. (2014). Human papilloma virus status of penile squamous cell carcinoma is associated with differences in tumour-infiltrating T lymphocytes. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 466(3). 323–331. 32 indexed citations
14.
Sinn, Bruno V., Jana K. Striefler, Annika Lehmann, et al.. (2014). KRAS Mutations in Codon 12 or 13 Are Associated With Worse Prognosis in Pancreatic Ductal Adenocarcinoma. Pancreas. 43(4). 578–583. 34 indexed citations
15.
16.
Dietel, Manfred, Alexander Enk, Annika Lehmann, et al.. (2012). BRAF-Mutationstestung beim metastasierten malignen Melanom. Der Pathologe. 33(4). 352–356. 6 indexed citations
17.
Lehmann, Annika, Christiane Schewe, Guido Hennig, et al.. (2012). Applicability of a System for Fully Automated Nucleic Acid Extraction From Formalin-fixed Paraffin-embedded Sections for Routine KRAS Mutation Testing. Diagnostic Molecular Pathology. 21(2). 114–119. 3 indexed citations
18.
Tierling, Sascha, Christine Sers, Annika Lehmann, & Jörn Walter. (2011). A fast, cost‐efficient and sensitive approach for KRAS mutation detection using multiplexed primer extension with IP/RP‐HPLC separation. International Journal of Cancer. 130(3). 567–574. 4 indexed citations
19.
Darb‐Esfahani, Silvia, Bruno V. Sinn, Wilko Weichert, et al.. (2010). Expression of classical NF‐κB pathway effectors in human ovarian carcinoma. Histopathology. 56(6). 727–739. 27 indexed citations
20.
Lehmann, Annika, Carsten Denkert, Jan Budczies, et al.. (2009). High class I HDAC activity and expression are associated with RelA/p65 activation in pancreatic cancer in vitro and in vivo. BMC Cancer. 9(1). 395–395. 75 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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