David J. Langer

3.3k total citations
113 papers, 1.7k citations indexed

About

David J. Langer is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, David J. Langer has authored 113 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Neurology, 45 papers in Pulmonary and Respiratory Medicine and 29 papers in Surgery. Recurrent topics in David J. Langer's work include Intracranial Aneurysms: Treatment and Complications (60 papers), Cerebrovascular and Carotid Artery Diseases (33 papers) and Vascular Malformations Diagnosis and Treatment (23 papers). David J. Langer is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (60 papers), Cerebrovascular and Carotid Artery Diseases (33 papers) and Vascular Malformations Diagnosis and Treatment (23 papers). David J. Langer collaborates with scholars based in United States, Netherlands and Brazil. David J. Langer's co-authors include John A. Boockvar, Alejandro Berenstein, Jason A. Ellis, Randy S. D’Amico, Albert van der Zwan, Cornelis A. F. Tulleken, Erez Nossek, Yasunari Niimi, Mark J. Kupersmith and Timothy G. White and has published in prestigious journals such as Journal of neurosurgery, Biochimica et Biophysica Acta (BBA) - Biomembranes and Neurosurgery.

In The Last Decade

David J. Langer

98 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Langer United States 23 934 595 495 454 231 113 1.7k
Fédérico Cagnazzo France 25 1.2k 1.3× 837 1.4× 358 0.7× 559 1.2× 188 0.8× 94 2.0k
Daniel L. Cooke United States 28 1.6k 1.7× 591 1.0× 487 1.0× 525 1.2× 137 0.6× 164 2.7k
Visish M. Srinivasan United States 23 1.5k 1.6× 605 1.0× 490 1.0× 474 1.0× 119 0.5× 301 2.5k
Michaël Bruneau Belgium 27 1.1k 1.2× 566 1.0× 789 1.6× 448 1.0× 114 0.5× 89 2.0k
Tarek Y. El Ahmadieh United States 23 688 0.7× 281 0.5× 655 1.3× 285 0.6× 251 1.1× 139 1.6k
Oliver Bozinov Switzerland 27 998 1.1× 302 0.5× 571 1.2× 628 1.4× 157 0.7× 159 2.2k
Howard A. Riina United States 33 2.7k 2.9× 1.3k 2.2× 568 1.1× 577 1.3× 210 0.9× 149 3.5k
Chang Jin Kim South Korea 23 727 0.8× 576 1.0× 392 0.8× 657 1.4× 50 0.2× 99 1.9k
Walter C. Jean United States 24 619 0.7× 239 0.4× 581 1.2× 541 1.2× 195 0.8× 102 2.0k
Pantelis Stavrinou Germany 20 1.1k 1.2× 353 0.6× 594 1.2× 1.2k 2.6× 91 0.4× 62 2.2k

Countries citing papers authored by David J. Langer

Since Specialization
Citations

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

Fields of papers citing papers by David J. Langer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Langer. 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 David J. Langer. The network helps show where David J. Langer may publish in the future.

Co-authorship network of co-authors of David J. Langer

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Langer. A scholar is included among the top collaborators of David J. Langer 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 David J. Langer. David J. Langer 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.
Ferreira, Christian, et al.. (2025). Exoscopic Clipping of an Unruptured Anterior Inferior Cerebellar Artery Origin Aneurysm Through a Retrosigmoid Approach: 2-Dimensional Operative Video. Operative Neurosurgery. 30(1). 153–154. 1 indexed citations
6.
White, Timothy G., Danielle Golub, Karen Black, et al.. (2024). Impact of Cerebral Revascularization on Pial Collateral Flow in Patients With Unilateral Moyamoya Disease Using Quantitative Magnetic Resonance Angiography. Neurosurgery. 95(3). 596–604. 3 indexed citations
7.
Shlobin, Nathan A., et al.. (2024). Ethical Incorporation of Artificial Intelligence into Neurosurgery: A Generative Pretrained Transformer Chatbot-Based, Human-Modified Approach. World Neurosurgery. 187. e769–e791. 6 indexed citations
8.
Ellis, Jason A., et al.. (2024). Brachytherapy in Brain Metastasis Treatment: A Scoping Review of Advances in Techniques and Clinical Outcomes. Cancers. 16(15). 2723–2723. 1 indexed citations
9.
Werner, Michael T., Judd H. Fastenberg, John A. Boockvar, et al.. (2023). Reconstruction of the Anterior Skull Base Using the Nasoseptal Flap: A Review. Cancers. 16(1). 169–169. 4 indexed citations
11.
Bin-Alamer, Othman, Paolo Palmisciano, Arka N. Mallela, et al.. (2023). Dolichoectatic vertebrobasilar aneurysms: a systematic review and meta-analysis of management strategies and outcomes. Neurosurgical FOCUS. 54(5). E9–E9. 4 indexed citations
12.
Ballout, Ahmad A., Seok Yoon Oh, Richard Libman, et al.. (2023). Stroke mechanisms in adult moyamoya disease: The association between infarction patterns and quantitative magnetic resonance angiography flow state. Journal of Stroke and Cerebrovascular Diseases. 32(12). 107447–107447. 3 indexed citations
13.
Patel, Roshal R., David J. Langer, Jason A. Ellis, et al.. (2023). Improvement in visual outcomes of patients with base of skull meningioma as a result of evolution in the treatment techniques in the last three decades: a systematic review. Journal of Neuro-Oncology. 163(3). 485–503.
14.
Serulle, Yafell, et al.. (2021). Use of quantitative magnetic resonance angiography in patients with symptomatic intracranial arterial stenosis who undergo stenting: Presentation of three cases. Journal of Cerebrovascular and Endovascular Neurosurgery. 23(2). 136–144. 4 indexed citations
15.
D’Amico, Randy S., Deepak Khatri, Nitesh V. Patel, et al.. (2020). Super selective intra-arterial cerebral infusion of modern chemotherapeutics after blood–brain barrier disruption: where are we now, and where we are going. Journal of Neuro-Oncology. 147(2). 261–278. 59 indexed citations
16.
White, Timothy G., Hussam Abou‐Al‐Shaar, Jung Ho Park, et al.. (2019). Cerebral revascularization after the Carotid Occlusion Surgery Study: what candidates remain, and can we do better?. Neurosurgical FOCUS. 46(2). E3–E3. 17 indexed citations
17.
Ellis, Jason A., et al.. (2019). Moyamoya-Related Stroke Risk During Pregnancy: An Evidence-Based Reappraisal. World Neurosurgery. 129. e582–e585. 5 indexed citations
18.
Nossek, Erez, Katherine Wagner, Avi Setton, et al.. (2017). Paradigms for single-patient multimodality treatment for cerebral aneurysms: single-center eleven-year experience. Neurosurgical Review. 40(3). 495–506. 1 indexed citations
19.
Nossek, Erez & David J. Langer. (2014). How I do it: combined direct (STA-MCA) and indirect (EDAS) EC-IC bypass. Acta Neurochirurgica. 156(11). 2079–2084. 18 indexed citations
20.
Korja, Miikka, Chandranath Sen, & David J. Langer. (2010). Operative Nuances of Side-to-Side In Situ Posterior Inferior Cerebellar Artery-Posterior Inferior Cerebellar Artery Bypass Procedure. Operative Neurosurgery. 67(2 Suppl Operative). ons471–ons477. 21 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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