Hartmut Juhl

62.7k total citations · 2 hit papers
65 papers, 3.8k citations indexed

About

Hartmut Juhl is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Hartmut Juhl has authored 65 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 27 papers in Oncology and 21 papers in Cancer Research. Recurrent topics in Hartmut Juhl's work include Monoclonal and Polyclonal Antibodies Research (14 papers), Cancer Genomics and Diagnostics (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Hartmut Juhl is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (14 papers), Cancer Genomics and Diagnostics (11 papers) and Glycosylation and Glycoproteins Research (10 papers). Hartmut Juhl collaborates with scholars based in United States, Germany and Japan. Hartmut Juhl's co-authors include Kenneth W. Kinzler, Luis A. Díaz, Bert Vogelstein, Kerstin A. David, Frank Diehl, Steven N. Goodman, Meng Li, Dong Shen, Yiping He and Devin Dressman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Hartmut Juhl

64 papers receiving 3.7k citations

Hit Papers

Detection and quantification of mutations in the plasma o... 2005 2026 2012 2019 2005 2006 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Detection and quantification of mutations in the plasma of patients with colorectal tumors
    2005 939 citations Luis A. Díaz, Kerstin A. David et al. Proceedings of the National Academy of Sciences profile →
  2. The colorectal microRNAome
    2006 757 citations Jordan M. Cummins, Yiping He et al. Proceedings of the National Academy of Sciences profile →

Peers

Hartmut Juhl
Simon Pacey United Kingdom
Bas Kreike Netherlands
Gulisa Turashvili Canada
Magali Lacroix‐Triki France
Luca Roz Italy
Gelareh Farshid Australia
Fernanda Milanezi Portugal
Bruno Robert France
Richard Flavin Ireland
Yan‐Gao Man United States
Simon Pacey United Kingdom
Hartmut Juhl
Citations per year, relative to Hartmut Juhl Hartmut Juhl (= 1×) peers Simon Pacey

Countries citing papers authored by Hartmut Juhl

Since Specialization
Citations

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

Fields of papers citing papers by Hartmut Juhl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hartmut Juhl

This figure shows the co-authorship network connecting the top 25 collaborators of Hartmut Juhl. A scholar is included among the top collaborators of Hartmut Juhl 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 Hartmut Juhl. Hartmut Juhl 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.
Tøttrup, Anders P., Jakob Lerche Hansen, Simon Hickinbotham, et al.. (2025). A Concept for Co-Creation in Participatory Science: Insights From Developing the Archaeological Next Generation Lab. Citizen Science Theory and Practice. 10(1). 22–22. 1 indexed citations
2.
Popova, N. V., Daniel J. Smit, Matthew J. McKay, et al.. (2025). Proteomic Landscape of Colorectal Cancer Derived Liver Metastasis Reveals Three Distinct Phenotypes With Specific Signaling and Enhanced Survival. Molecular & Cellular Proteomics. 24(8). 101026–101026.
3.
McCall, Matthew N., et al.. (2024). Exon-Skipping–Based Subtyping of Colorectal Cancers. Gastroenterology. 167(7). 1358–1370.e12. 1 indexed citations
4.
Nikliński, Jacek, Hartmut Juhl, Anetta Sulewska, et al.. (2023). Applied Molecular-Based Quality Control of Biobanked Samples for Multi-Omics Approach. Cancers. 15(14). 3742–3742. 11 indexed citations
5.
Han, Yuyi, Valentina Rovella, Artem Smirnov, et al.. (2023). A BRCA2 germline mutation and high expression of immune checkpoints in a TNBC patient. Cell Death Discovery. 9(1). 370–370. 13 indexed citations
6.
Tsamardinos, Ioannis, Γεώργιος Παπουτσόγλου, Giorgos Borboudakis, et al.. (2022). Just Add Data: automated predictive modeling for knowledge discovery and feature selection. npj Precision Oncology. 6(1). 38–38. 36 indexed citations
7.
Marshall, John L., Beth N. Peshkin, Takayuki Yoshino, et al.. (2022). The Essentials of Multiomics. The Oncologist. 27(4). 272–284. 12 indexed citations
8.
Pompaiah, Malvika, et al.. (2021). Druggable genome and precision medicine in cancer: current challenges. FEBS Journal. 288(21). 6142–6158. 23 indexed citations
9.
Wurlitzer, Marcus, Daniel J. Smit, Florian Ewald, et al.. (2020). Differential regulation of extracellular matrix proteins in three recurrent liver metastases of a single patient with colorectal cancer. Clinical & Experimental Metastasis. 37(6). 649–656. 9 indexed citations
10.
Xu, Lai, Helen Luo, Rong Wang, et al.. (2019). Novel reference genes in colorectal cancer identify a distinct subset of high stage tumors and their associated histologically normal colonic tissues. BMC Medical Genetics. 20(1). 138–138. 17 indexed citations
11.
Unger, Florian T., Nicole Lange, Jana Krüger, et al.. (2016). Nanoproteomic analysis of ischemia-dependent changes in signaling protein phosphorylation in colorectal normal and cancer tissue. Journal of Translational Medicine. 14(1). 6–6. 16 indexed citations
12.
Xu, Lai, Joseph M. Ziegelbauer, Rong Wang, et al.. (2015). Distinct Profiles for Mitochondrial t-RNAs and Small Nucleolar RNAs in Locally Invasive and Metastatic Colorectal Cancer. Clinical Cancer Research. 22(3). 773–784. 27 indexed citations
13.
Cummins, Jordan M., Yiping He, Rebecca Leary, et al.. (2006). The colorectal microRNAome. Proceedings of the National Academy of Sciences. 103(10). 3687–3692. 757 indexed citations breakdown →
14.
Vogel, Ilka, H. Francksen, Edlyn Soeth, et al.. (2001). The carcinoembryonic antigen and its prognostic impact on immunocytologically detected intraperitoneal colorectal cancer cells. The American Journal of Surgery. 181(2). 188–193. 36 indexed citations
15.
16.
Schott, Astrid, Ilka Vogel, Holger Kalthoff, et al.. (1998). Isolated Tumor Cells Are Frequently Detectable in the Peritoneal Cavity of Gastric and Colorectal Cancer Patients and Serve as a New Prognostic Marker. Annals of Surgery. 227(3). 372–379. 122 indexed citations
17.
Juhl, Hartmut, et al.. (1997). HER-2/neu Is Rate-limiting for Ovarian Cancer Growth. Journal of Biological Chemistry. 272(47). 29482–29486. 56 indexed citations
18.
19.
Juhl, Hartmut, et al.. (1994). A MONOCLONAL ANTIBODY-COBRA VENOM FACTOR CONJUGATE. INCREASES THE TUMOR UPTAKE OF AN 99Tc-ANTI-CEA ANTIBODY BY A TWO-STEP APPROACH. Journal of Immunotherapy. 16(2). 159–159. 1 indexed citations
20.
Juhl, Hartmut, Eugene C. Petrella, Nai‐Kong V. Cheung, Reinhard Bredehorst, & Carl‐Wilhelm Vogel. (1990). Complement killing of human neuroblastoma cells: A cytotoxic monoclonal antibody and its F(ab)'2-cobra venom factor conjugate are equally cytotoxic. Molecular Immunology. 27(10). 957–964. 33 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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