Herbert Haack

5.0k total citations
16 papers, 1.7k citations indexed

About

Herbert Haack is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Herbert Haack has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Herbert Haack's work include Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Herbert Haack is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Herbert Haack collaborates with scholars based in United States, Germany and China. Herbert Haack's co-authors include Peter Gruß, Matthew R. Silver, Richard O. Hynes, Kurt A. Schalper, David L. Rimm, Jason R. Brown, Hallie Wimberly, Veerle Bossuyt, Donald R. Lannin and Christian P. Nixon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Development.

In The Last Decade

Herbert Haack

16 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
Herbert Haack United States 13 958 744 483 219 170 16 1.7k
Keiko Funa Sweden 20 716 0.7× 609 0.8× 222 0.5× 215 1.0× 110 0.6× 37 1.6k
Claude Houdayer France 24 920 1.0× 761 1.0× 365 0.8× 271 1.2× 456 2.7× 66 1.9k
Sandra Coetzee United States 13 1.1k 1.2× 510 0.7× 466 1.0× 345 1.6× 69 0.4× 18 1.7k
Eleanor Y. Chen United States 28 1.0k 1.1× 328 0.4× 521 1.1× 236 1.1× 217 1.3× 64 2.0k
Fréderic Fina France 27 893 0.9× 687 0.9× 389 0.8× 506 2.3× 127 0.7× 87 2.2k
Martine Duterque‐Coquillaud France 28 1.4k 1.5× 308 0.4× 517 1.1× 288 1.3× 335 2.0× 57 2.4k
Laurent Sansregret Canada 14 1.1k 1.2× 753 1.0× 289 0.6× 658 3.0× 188 1.1× 16 2.0k
Shingo Akimoto Japan 22 1.4k 1.4× 391 0.5× 255 0.5× 168 0.8× 83 0.5× 37 1.8k
Margaret E. Macy United States 19 521 0.5× 385 0.5× 256 0.5× 149 0.7× 126 0.7× 57 1.3k
Adam H. Hart Australia 14 1.7k 1.8× 873 1.2× 197 0.4× 524 2.4× 393 2.3× 18 2.4k

Countries citing papers authored by Herbert Haack

Since Specialization
Citations

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

Fields of papers citing papers by Herbert Haack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Herbert Haack

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

All Works

16 of 16 papers shown
1.
McLaughlin, Joseph, Kurt A. Schalper, Daniel Carvajal‐Hausdorf, et al.. (2015). Abstract 1310: Programmed death ligand-1 (PD-L1) heterogeneity in non-small cell lung cancer (NSCLC). Cancer Research. 75(15_Supplement). 1310–1310. 2 indexed citations
2.
Wimberly, Hallie, Jason R. Brown, Kurt A. Schalper, et al.. (2014). PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer. Cancer Immunology Research. 3(4). 326–332. 312 indexed citations
3.
McLaughlin, Joseph, Kurt A. Schalper, Daniel Carvajal‐Hausdorf, et al.. (2014). Domain-specific PD-L1 protein measurement in non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 32(15_suppl). 8064–8064. 15 indexed citations
4.
Kim, Hye Ryun, Seungtaek Lim, Soohyun Hwang, et al.. (2013). The frequency and impact of ROS1 rearrangement on clinical outcomes in never smokers with lung adenocarcinoma. Annals of Oncology. 24(9). 2364–2370. 98 indexed citations
5.
Jung, Ok‐Sang, Herbert Haack, H.-R. Brodt, et al.. (2013). Veränderungen im Spektrum der Nierenerkrankungen bei HIV-Infektion. DMW - Deutsche Medizinische Wochenschrift. 138(38). 1887–1891. 9 indexed citations
6.
Rimkunas, Victoria, Daiqiang Li, Yerong Hu, et al.. (2012). Analysis of Receptor Tyrosine Kinase ROS1-Positive Tumors in Non–Small Cell Lung Cancer: Identification of a FIG-ROS1 Fusion. Clinical Cancer Research. 18(16). 4449–4457. 225 indexed citations
7.
Ren, Hong, Zhiping Tan, Xin Zhu, et al.. (2012). Identification of Anaplastic Lymphoma Kinase as a Potential Therapeutic Target in Ovarian Cancer. Cancer Research. 72(13). 3312–3323. 92 indexed citations
8.
Rimkunas, Victoria, Marcus P. Kelly, Matthew R. Silver, et al.. (2010). Frequencies of ALK and ROS in NSCLC FFPE tumor samples utilizing a highly specific immunohistochemistry-based assay and FISH analysis.. Journal of Clinical Oncology. 28(15_suppl). 10536–10536. 9 indexed citations
9.
Haack, Herbert, Laura A. Johnson, Christopher J. Fry, et al.. (2009). Diagnosis of NUT Midline Carcinoma Using a NUT-specific Monoclonal Antibody. The American Journal of Surgical Pathology. 33(7). 984–991. 297 indexed citations
10.
Wong, Sunny Y., Herbert Haack, Joseph L. Kissil, et al.. (2007). Protein 4.1B suppresses prostate cancer progression and metastasis. Proceedings of the National Academy of Sciences. 104(31). 12784–12789. 61 indexed citations
11.
Wong, Sunny Y., Herbert Haack, Denise Crowley, et al.. (2005). Tumor-Secreted Vascular Endothelial Growth Factor-C Is Necessary for Prostate Cancer Lymphangiogenesis, but Lymphangiogenesis Is Unnecessary for Lymph Node Metastasis. Cancer Research. 65(21). 9789–9798. 129 indexed citations
12.
Petti, Filippo, Lydia M. Nuwaysir, Herbert Haack, et al.. (2005). Temporal quantitation of mutant Kit tyrosine kinase signaling attenuated by a novel thiophene kinase inhibitor OSI-930. Molecular Cancer Therapeutics. 4(8). 1186–1197. 41 indexed citations
13.
Haack, Herbert & Richard O. Hynes. (2001). Integrin Receptors Are Required for Cell Survival and Proliferation during Development of the Peripheral Glial Lineage. Developmental Biology. 233(1). 38–55. 43 indexed citations
14.
Fromental-Ramain, Catherine, Xavier Warot, Bertrand Favier, et al.. (1996). Specific and redundant functions of the paralogous Hoxa-9 and Hoxd-9 genes in forelimb and axial skeleton patterning. Development. 122(2). 461–472. 222 indexed citations
15.
Haack, Herbert & Peter Gruß. (1993). The Establishment of Murine Hox-1 Expression Domains during Patterning of the Limb. Developmental Biology. 157(2). 410–422. 133 indexed citations
16.
Haack, Herbert & Jonathan Hodgkin. (1991). Tests for parental imprinting in the nematode Caenorhabditis elegans. Molecular and General Genetics MGG. 228(3). 482–485. 23 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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