Anna H. Klemm

1.1k total citations
26 papers, 618 citations indexed

About

Anna H. Klemm is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, Anna H. Klemm has authored 26 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cell Biology and 7 papers in Biophysics. Recurrent topics in Anna H. Klemm's work include Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (6 papers) and Cellular Mechanics and Interactions (6 papers). Anna H. Klemm is often cited by papers focused on Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (6 papers) and Cellular Mechanics and Interactions (6 papers). Anna H. Klemm collaborates with scholars based in Germany, Sweden and Croatia. Anna H. Klemm's co-authors include Carolina Wählby, Wolfgang H. Goldmann, Sandra Kienle, Tilman E. Schäffer, Leslie Solorzano, Iva M. Tolić, Ben Fabry, Nenad Pavin, Philip J. Harrison and Anindya Gupta and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Cell Biology.

In The Last Decade

Anna H. Klemm

26 papers receiving 611 citations

Peers

Anna H. Klemm

BIOPH

Assaf Zaritsky Israel

Heba Sailem United Kingdom

Sébastien Besson United Kingdom

Weimiao Yu Singapore

Brian Loranger United Kingdom

Douglas B. Wheeler United States

Anja Mittag Germany

Melissa Linkert United Kingdom

Alexander S. Zhovmer United States

Philippe Van Ham Belgium

Assaf Zaritsky Israel

Anna H. Klemm

570 ×1.6

332 ×1.3

140 ×1.0

BIOPH

146 ×2.2

23 ×0.4

Citations per year, relative to Anna H. Klemm Anna H. Klemm (= 1×) peers Assaf Zaritsky

Countries citing papers authored by Anna H. Klemm

Since Specialization

Citations

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

Fields of papers citing papers by Anna H. Klemm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna H. Klemm. 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 Anna H. Klemm. The network helps show where Anna H. Klemm may publish in the future.

Co-authorship network of co-authors of Anna H. Klemm

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

All Works

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20 of 20 papers shown

Avenel, Christophe, et al.. (2023). TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data. Heliyon. 9(5). e15306–e15306. 19 indexed citations

Avenel, Christophe, et al.. (2023). Visualization and quality control tools for large-scale multiplex tissue analysis in TissUUmaps3. SHILAP Revista de lepidopterología. 3. e6–e6. 3 indexed citations

Avenel, Christophe, et al.. (2023). TissUUmaps 3: Improvements in Interactive Visualization, Exploration and Quality Assessment of Large-Scale Spatial Omics Data. SSRN Electronic Journal. 2 indexed citations

Avenel, Christophe, et al.. (2022). Automated detection of vascular remodeling in tumor‐draining lymph nodes by the deep‐learning tool HEV‐finder. The Journal of Pathology. 258(1). 4–11. 1 indexed citations

Harrison, Philip J., Johan Heldin, Sara Ricardo, et al.. (2022). A method for Boolean analysis of protein interactions at a molecular level. Nature Communications. 13(1). 4755–4755. 10 indexed citations

Klemm, Anna H., et al.. (2022). Spatial Statistics for Understanding Tissue Organization. Frontiers in Physiology. 13. 832417–832417. 12 indexed citations

Aggarwal, Tanya, et al.. (2022). SLC38A10 Regulate Glutamate Homeostasis and Modulate the AKT/TSC2/mTOR Pathway in Mouse Primary Cortex Cells. Frontiers in Cell and Developmental Biology. 10. 854397–854397. 7 indexed citations

Solorzano, Leslie, Lina Leiss, Thomas Olsson Bontell, et al.. (2021). Machine learning for cell classification and neighborhood analysis in glioma tissue. Cytometry Part A. 99(12). 1176–1186. 9 indexed citations

Hilscher, Markus M., et al.. (2020). Automated identification of the mouse brain’s spatial compartments from in situ sequencing data. BMC Biology. 18(1). 144–144. 19 indexed citations

10.

Klemm, Anna H., et al.. (2019). Tracking Microscope Performance: A Workflow to Compare Point Spread Function Evaluations Over Time. Microscopy and Microanalysis. 25(3). 699–704. 5 indexed citations

11.

Gupta, Anindya, Philip J. Harrison, Håkan Wieslander, et al.. (2018). Deep Learning in Image Cytometry: A Review. Cytometry Part A. 95(4). 366–380. 128 indexed citations

12.

Nekolla, Katharina, Anna H. Klemm, Judith‐Irina Buchheim, et al.. (2018). Estimating hemodynamic shear stress in murine peripheral collateral arteries by two-photon line scanning. Molecular and Cellular Biochemistry. 453(1-2). 41–51. 10 indexed citations

13.

Schieweck, Rico, Therese Riedemann, Tobias Straub, et al.. (2017). Pumilio2 deficient mice show a predisposition for epilepsy. Disease Models & Mechanisms. 10(11). 1333–1342. 40 indexed citations

14.

Cojoc, Gheorghe, Alexander Krull, Anna H. Klemm, et al.. (2016). Paired arrangement of kinetochores together with microtubule pivoting and dynamics drive kinetochore capture in meiosis I. Scientific Reports. 6(1). 25736–25736. 9 indexed citations

15.

Kajtez, Janko, Anastasia I. Solomatina, Maja Novak, et al.. (2016). Overlap microtubules link sister k-fibres and balance the forces on bi-oriented kinetochores. Nature Communications. 7(1). 10298–10298. 99 indexed citations

16.

Nandi, Amitabha, Petrina Delivani, Mariola R. Chacón, et al.. (2012). Pivoting of microtubules around the spindle pole accelerates kinetochore capture. Nature Cell Biology. 15(1). 82–87. 55 indexed citations

17.

Fabry, Ben, Anna H. Klemm, Sandra Kienle, Tilman E. Schäffer, & Wolfgang H. Goldmann. (2011). Focal Adhesion Kinase Stabilizes the Cytoskeleton. Biophysical Journal. 101(9). 2131–2138. 79 indexed citations

18.

Klemm, Anna H., Sandra Kienle, Johannes Rheinlaender, Tilman E. Schäffer, & Wolfgang H. Goldmann. (2010). The influence of Pyk2 on the mechanical properties in fibroblasts. Biochemical and Biophysical Research Communications. 393(4). 694–697. 14 indexed citations

19.

Diez, Gerold, et al.. (2007). Thermodynamic evidence of non-muscle myosin II–lipid-membrane interaction. Biochemical and Biophysical Research Communications. 366(2). 500–505. 6 indexed citations

20.

Smith, James M., et al.. (2006). CapZ-lipid membrane interactions: a computer analysis. Theoretical Biology and Medical Modelling. 3(1). 30–30. 11 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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