Lena Häberle

754 total citations
26 papers, 433 citations indexed

About

Lena Häberle is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lena Häberle has authored 26 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 12 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lena Häberle's work include Pancreatic and Hepatic Oncology Research (23 papers), Pancreatitis Pathology and Treatment (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). Lena Häberle is often cited by papers focused on Pancreatic and Hepatic Oncology Research (23 papers), Pancreatitis Pathology and Treatment (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). Lena Häberle collaborates with scholars based in Germany, Italy and United Kingdom. Lena Häberle's co-authors include Iréne Esposito, Wolfram Trudo Knoefel, Verena Keitel, Wolfgang Goering, Anna Melissa Schlitter, Georg Fluegen, Katja Steiger, Alexander Rehders, Katharina Fuchs and Mert Erkan and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Gut.

In The Last Decade

Lena Häberle

23 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lena Häberle Germany 10 340 153 127 109 86 26 433
Elizabeth Kornaga Canada 11 255 0.8× 82 0.5× 88 0.7× 152 1.4× 68 0.8× 24 437
Ehab Husain United Kingdom 11 135 0.4× 67 0.4× 129 1.0× 118 1.1× 57 0.7× 25 398
Yan Mao China 6 336 1.0× 138 0.9× 115 0.9× 114 1.0× 140 1.6× 19 555
Ryo Sugimoto Japan 12 199 0.6× 136 0.9× 115 0.9× 97 0.9× 166 1.9× 58 440
Rosemary Giuliano United States 12 233 0.7× 189 1.2× 360 2.8× 47 0.4× 55 0.6× 22 551
Masashi Mikubo Japan 12 213 0.6× 63 0.4× 96 0.8× 119 1.1× 256 3.0× 40 458
Bojana Mitrovic Canada 5 252 0.7× 106 0.7× 40 0.3× 53 0.5× 111 1.3× 8 360
Marion Hädrich Switzerland 9 338 1.0× 98 0.6× 65 0.5× 86 0.8× 84 1.0× 12 449
Milim Kim South Korea 11 183 0.5× 56 0.4× 125 1.0× 94 0.9× 48 0.6× 26 386

Countries citing papers authored by Lena Häberle

Since Specialization
Citations

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

Fields of papers citing papers by Lena Häberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lena Häberle

This figure shows the co-authorship network connecting the top 25 collaborators of Lena Häberle. A scholar is included among the top collaborators of Lena Häberle 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 Lena Häberle. Lena Häberle 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.
David, Steven, Lena Häberle, Tom Luedde, et al.. (2025). Most oncological pancreas resections must consider the mesopancreas. BMC Cancer. 25(1). 200–200.
2.
Esposito, Iréne, Lena Häberle, Oliver Kuß, et al.. (2025). Minimally Invasive Detection of High-Risk Pancreatic Cystic Neoplasms Using a Novel Multiparametric Single-Molecule Biosensor. Gastro Hep Advances. 4(10). 100790–100790.
3.
Alexander, A., Winfried Neuhuber, Lena Häberle, et al.. (2024). Defining distal splenopancreatectomy by the mesopancreas. Langenbeck s Archives of Surgery. 409(1). 127–127. 3 indexed citations
4.
Häberle, Lena, et al.. (2023). Mesopanc-01-Studie zum Pankreaskopfkarzinom. Forum. 38(2). 152–156. 1 indexed citations
5.
Häberle, Lena, et al.. (2023). Tenascin-C affects invasiveness of EGFR-mutated lung adenocarcinoma through a putative paracrine loop. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1869(5). 166684–166684. 3 indexed citations
6.
Häberle, Lena, Wolfgang Goering, Verena Keitel, et al.. (2022). Genetic Alterations Predict Long-Term Survival in Ductal Adenocarcinoma of the Pancreatic Head. Cancers. 14(3). 850–850. 5 indexed citations
7.
Häberle, Lena, Haifeng C. Xu, Tilman T. Rau, et al.. (2022). Communicator-Driven Data Preprocessing Improves Deep Transfer Learning of Histopathological Prediction of Pancreatic Ductal Adenocarcinoma. Cancers. 14(8). 1964–1964. 10 indexed citations
8.
Vay, Christian, Levent Dizdar, Alexander Rehders, et al.. (2022). Clinicopathological and Prognostic Value of Survivin Expression in Surgically Resected Pancreatic Ductal Adenocarcinoma. Cancers. 14(14). 3494–3494. 5 indexed citations
9.
Liffers, Sven‐Thorsten, Lena Häberle, Aslihan Yavas, et al.. (2022). Molecular heterogeneity and commonalities in pancreatic cancer precursors with gastric and intestinal phenotype. Gut. 72(3). 522–534. 17 indexed citations
10.
Häberle, Lena, Yuriko Mori, Christina Antke, et al.. (2022). Primary thyroid gland myxofibrosarcoma: a case report and review of the literature. SHILAP Revista de lepidopterología. 8(1). 139–139.
11.
Häberle, Lena, Georg Fluegen, Nadja Lehwald, et al.. (2021). Mesopancreatic excision for pancreatic ductal adenocarcinoma improves local disease control and survival. Pancreatology. 21(4). 787–795. 16 indexed citations
12.
Rehders, Alexander, Lena Häberle, Stephen Fung, et al.. (2021). Para-aortic lymph nodes and ductal adenocarcinoma of the pancreas: Distant neighbors?. Surgery. 170(6). 1807–1814. 9 indexed citations
13.
Häberle, Lena, Andrea Cacciato Insilla, Katja Steiger, et al.. (2021). Stroma composition and proliferative activity are related to therapy response in neoadjuvant treated pancreatic ductal adenocarcinoma.. PubMed. 36(7). 733–742. 9 indexed citations
14.
Fluegen, Georg, Alexander Rehders, Lena Häberle, et al.. (2021). Surgical margin clearance and extended chemotherapy defines survival for synchronous oligometastatic liver lesions of the ductal adenocarcinoma of the pancreas. International Journal of Clinical Oncology. 26(10). 1911–1921. 8 indexed citations
15.
Häberle, Lena, Alexander Rehders, Stephen Fung, et al.. (2021). Neoadjuvant Treatment Lowers the Risk of Mesopancreatic Fat Infiltration and Local Recurrence in Patients with Pancreatic Cancer. Cancers. 14(1). 68–68. 6 indexed citations
16.
Lehwald, Nadja, Alexander Rehders, Georg Fluegen, et al.. (2021). Site of relapse of ductal adenocarcinoma of the pancreas affects survival after multimodal therapy. BMC Surgery. 21(1). 110–110. 2 indexed citations
17.
Häberle, Lena, Martin Schramm, Wolfgang Goering, et al.. (2021). Molecular analysis of cyst fluids improves the diagnostic accuracy of pre-operative assessment of pancreatic cystic lesions. Scientific Reports. 11(1). 2901–2901. 25 indexed citations
18.
Kalisz, Mark, Edgar Bernardo, Anthony Beucher, et al.. (2020). HNF1A recruits KDM6A to activate differentiated acinar cell programs that suppress pancreatic cancer. The EMBO Journal. 39(9). e102808–e102808. 46 indexed citations
20.
Häberle, Lena & Iréne Esposito. (2019). Pathology of pancreatic cancer. Translational Gastroenterology and Hepatology. 4. 50–50. 130 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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