Ulrike Haessler

982 total citations
10 papers, 767 citations indexed

About

Ulrike Haessler is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Ulrike Haessler has authored 10 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Ulrike Haessler's work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Ulrike Haessler is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (3 papers). Ulrike Haessler collaborates with scholars based in Switzerland, United States and United Kingdom. Ulrike Haessler's co-authors include Melody A. Swartz, Mingming Wu, Marco Pisano, Yevgeniy V. Kalinin, Jeremy Teo, Philippe Renaud, Sai T. Reddy, Natalia Sánchez‐Soriano, Andreas Prokop and Ulrike Menzel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Developmental Biology.

In The Last Decade

Ulrike Haessler

10 papers receiving 757 citations

Peers

Ulrike Haessler

BE

ONCOL

CB

MB

IMMUN

Erdem D. Tabdanov United States

Weiyang Jin China

Alexander S. Cheung United States

Huw Colin‐York United Kingdom

Yijia Pan United States

Laralynne Przybyla United States

Kailin R. Mesa United States

Shuvasree SenGupta United States

Vincent Hyenne France

Dooyoung Lee United States

Erdem D. Tabdanov United States

Ulrike Haessler

247 ×0.9

BE

171 ×0.6

ONCOL

419 ×2.0

CB

202 ×1.0

MB

186 ×1.0

IMMUN

Citations per year, relative to Ulrike Haessler Ulrike Haessler (= 1×) peers Erdem D. Tabdanov

Countries citing papers authored by Ulrike Haessler

Since Specialization

Citations

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

Fields of papers citing papers by Ulrike Haessler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Haessler

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

All Works

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10 of 10 papers shown

1.

D’Amico, Lucia, Ulrike Menzel, Michael Prummer, et al.. (2019). A novel anti-HER2 anthracycline-based antibody-drug conjugate induces adaptive anti-tumor immunity and potentiates PD-1 blockade in breast cancer. Journal for ImmunoTherapy of Cancer. 7(1). 16–16. 89 indexed citations

2.

Haessler, Ulrike & Sai T. Reddy. (2014). Using Next-Generation Sequencing for Discovery of High-Frequency Monoclonal Antibodies in the Variable Gene Repertoires from Immunized Mice. Methods in molecular biology. 1131. 191–203. 8 indexed citations

3.

Greiff, Victor, Ulrike Menzel, Ulrike Haessler, et al.. (2014). Quantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized mice. BMC Immunology. 15(1). 40–40. 51 indexed citations

4.

Menzel, Ulrike, Victor Greiff, Tarik A. Khan, et al.. (2014). Comprehensive Evaluation and Optimization of Amplicon Library Preparation Methods for High-Throughput Antibody Sequencing. PLoS ONE. 9(5). e96727–e96727. 39 indexed citations

5.

Haessler, Ulrike, Marco Pisano, Mingming Wu, & Melody A. Swartz. (2011). Dendritic cell chemotaxis in 3D under defined chemokine gradients reveals differential response to ligands CCL21 and CCL19. Proceedings of the National Academy of Sciences. 108(14). 5614–5619. 167 indexed citations

6.

Haessler, Ulrike, et al.. (2011). Migration dynamics of breast cancer cells in a tunable 3D interstitial flow chamber. Integrative Biology. 4(4). 401–409. 153 indexed citations

7.

Sánchez‐Soriano, Natalia, Catarina Gonçalves‐Pimentel, Robin Beaven, et al.. (2009). Drosophila growth cones: A genetically tractable platform for the analysis of axonal growth dynamics. Developmental Neurobiology. 70(1). 58–71. 48 indexed citations

8.

Haessler, Ulrike, Yevgeniy V. Kalinin, Melody A. Swartz, & Mingming Wu. (2009). An agarose-based microfluidic platform with a gradient buffer for 3D chemotaxis studies. Biomedical Microdevices. 11(4). 827–835. 138 indexed citations

9.

Cioffi, Margherita, Simone Bottan, Ulrike Haessler, et al.. (2008). MODELLING OF DENDRITIC CELL CHEMOTAXIS IN TISSUE ENGINEERED MICROENVIRONMENTS. Journal of Biomechanics. 41. S108–S108. 1 indexed citations

10.

Sánchez‐Soriano, Natalia, et al.. (2005). Are dendrites in Drosophila homologous to vertebrate dendrites?. Developmental Biology. 288(1). 126–138. 73 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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