C. Blanckmeister

2.6k total citations · 1 hit paper
8 papers, 1.9k citations indexed

About

C. Blanckmeister is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, C. Blanckmeister has authored 8 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in C. Blanckmeister's work include Pancreatic and Hepatic Oncology Research (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Renal cell carcinoma treatment (2 papers). C. Blanckmeister is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Renal cell carcinoma treatment (2 papers). C. Blanckmeister collaborates with scholars based in United States, France and United Kingdom. C. Blanckmeister's co-authors include Jean‐Luc Raoul, Peter Metrakos, Éric Raymond, Ivan Borbath, Catherine Lombard‐Bohas, Jen‐Shi Chen, Philippe Ruszniewski, Bertram Wiedenmann, Dieter Hörsch and Denis Smith and has published in prestigious journals such as New England Journal of Medicine, The Journal of Experimental Medicine and Cancer Research.

In The Last Decade

C. Blanckmeister

8 papers receiving 1.8k citations

Hit Papers

Sunitinib Malate for the Treatment of Pancreatic Neuroend... 2011 2026 2016 2021 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Blanckmeister United States 5 1.5k 1.4k 1.1k 230 177 8 1.9k
Katarina Öhrling Sweden 14 1.3k 0.9× 759 0.5× 482 0.4× 268 1.2× 235 1.3× 30 1.6k
David Z. Chang United States 14 776 0.5× 500 0.3× 324 0.3× 339 1.5× 116 0.7× 19 1.3k
Erin M. Bertino United States 20 1.2k 0.8× 549 0.4× 335 0.3× 379 1.6× 508 2.9× 73 1.8k
Satya Das United States 16 1.3k 0.8× 489 0.3× 275 0.3× 213 0.9× 292 1.6× 54 1.6k
Anya M. Litvak United States 12 596 0.4× 335 0.2× 174 0.2× 233 1.0× 243 1.4× 15 900
T. Barnes Canada 12 610 0.4× 224 0.2× 153 0.1× 173 0.8× 256 1.4× 28 988
Wan-Yee Lau Hong Kong 12 444 0.3× 469 0.3× 224 0.2× 155 0.7× 177 1.0× 15 1.2k
Van Anh Trinh United States 17 968 0.6× 202 0.1× 127 0.1× 226 1.0× 203 1.1× 38 1.3k
Roopinder Gillmore United Kingdom 15 684 0.4× 331 0.2× 131 0.1× 176 0.8× 233 1.3× 49 1.3k
Ashok Panneerselvam United States 16 330 0.2× 250 0.2× 142 0.1× 190 0.8× 201 1.1× 33 678

Countries citing papers authored by C. Blanckmeister

Since Specialization
Citations

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

Fields of papers citing papers by C. Blanckmeister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Blanckmeister

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

All Works

8 of 8 papers shown
1.
Zhang, Xu‐Chao, C. Blanckmeister, Jin‐Ji Yang, et al.. (2012). Abstract 4504: Retrospective study of clinicopathologic factors associated with ALK rearrangement and survival outcome in Chinese patients with NSCLC. Cancer Research. 72(8_Supplement). 4504–4504. 2 indexed citations
2.
Blanckmeister, C., Ying Cheng, Di Wu, et al.. (2012). Retrospective Study of Clinicopathologic Factors Associated with Alk Rearrangement and Survival Outcome in Chinese Patients (PTS) with NSCLC. Annals of Oncology. 23. ix415–ix415. 2 indexed citations
3.
Raymond, Éric, Laëtitia Dahan, Jean‐Luc Raoul, et al.. (2011). Sunitinib Malate for the Treatment of Pancreatic Neuroendocrine Tumors. New England Journal of Medicine. 364(6). 501–513. 1798 indexed citations breakdown →
4.
Raymond, Éric, Ivan Borbath, Jean‐Luc Raoul, et al.. (2009). Phase III, Randomized, Double-blind Trial of Sunitinib Versus Placebo in Patients With Progressive, Well-differentiated Pancreatic Islet Cell Tumours. Annals of Oncology. 20. 11–11. 7 indexed citations
5.
Raoul, Jean‐Luc, Patricia Niccoli, Y-J. Bang, et al.. (2009). 6501 Sunitinib (SU) vs placebo for treatment of progressive, well- differentiated pancreatic islet cell tumours: results of a phase III, randomised, double-blind trial. European Journal of Cancer Supplements. 7(2). 361–361. 3 indexed citations
6.
Klapper, Paul E., et al.. (1998). Multicenter International Work Flow Study of an Automated Polymerase Chain Reaction Instrument. Clinical Chemistry. 44(8). 1737–1739. 19 indexed citations
8.
Blanckmeister, C., et al.. (1985). Macrophage Activation by Cross-Linked Dextran. Journal of Leukocyte Biology. 37(2). 209–219. 16 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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