Naaman Kam

509 total citations
8 papers, 281 citations indexed

About

Naaman Kam is a scholar working on Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Naaman Kam has authored 8 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Naaman Kam's work include Gene Regulatory Network Analysis (3 papers), Model-Driven Software Engineering Techniques (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Naaman Kam is often cited by papers focused on Gene Regulatory Network Analysis (3 papers), Model-Driven Software Engineering Techniques (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Naaman Kam collaborates with scholars based in Israel, Germany and United Kingdom. Naaman Kam's co-authors include Irun R. Cohen, David Harel, Mike Fainzilber, Yitzhak Pilpel, Rami Hershkoviz, Ofer Lider, Gayle G. Vaday, R. Alon, Giampietro Schiavo and Johannes Herkel and has published in prestigious journals such as The Journal of Immunology, Developmental Biology and European Journal of Immunology.

In The Last Decade

Naaman Kam

8 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naaman Kam Israel 8 144 64 47 42 34 8 281
Sybille Böhm Germany 11 283 2.0× 108 1.7× 24 0.5× 27 0.6× 17 0.5× 17 361
Charles Tilford United States 7 294 2.0× 43 0.7× 69 1.5× 21 0.5× 32 0.9× 7 492
A. Pascual-Montano Spain 8 357 2.5× 48 0.8× 60 1.3× 14 0.3× 35 1.0× 12 539
Paola Luzzi Italy 7 221 1.5× 59 0.9× 121 2.6× 37 0.9× 93 2.7× 7 396
Shane Marine United States 13 427 3.0× 51 0.8× 41 0.9× 16 0.4× 56 1.6× 17 568
Antonio Luis Egea-Jiménez France 10 402 2.8× 56 0.9× 93 2.0× 22 0.5× 17 0.5× 15 445
Nobunari Sasaki Japan 10 380 2.6× 61 1.0× 258 5.5× 33 0.8× 70 2.1× 17 549
Douglas Sheridan United States 8 187 1.3× 215 3.4× 41 0.9× 24 0.6× 19 0.6× 15 486
A. Lyndsay Drayer Belgium 7 324 2.3× 49 0.8× 182 3.9× 19 0.5× 22 0.6× 8 437
Kymberleigh A. Pagel United States 7 479 3.3× 111 1.7× 34 0.7× 18 0.4× 79 2.3× 11 724

Countries citing papers authored by Naaman Kam

Since Specialization
Citations

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

Fields of papers citing papers by Naaman Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naaman Kam

This figure shows the co-authorship network connecting the top 25 collaborators of Naaman Kam. A scholar is included among the top collaborators of Naaman Kam 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 Naaman Kam. Naaman Kam 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.
Rishal, Ida, Naaman Kam, Rotem Ben‐Tov Perry, et al.. (2012). A Motor-Driven Mechanism for Cell-Length Sensing. Cell Reports. 1(6). 608–616. 44 indexed citations
2.
Kam, Naaman, Yitzhak Pilpel, & Mike Fainzilber. (2009). Can Molecular Motors Drive Distance Measurements in Injured Neurons?. PLoS Computational Biology. 5(8). e1000477–e1000477. 29 indexed citations
3.
Kam, Naaman, Hillel Kugler, Rami Marelly, et al.. (2008). A scenario-based approach to modeling development: A prototype model of C. elegans vulval fate specification. Developmental Biology. 323(1). 1–5. 22 indexed citations
4.
Herkel, Johannes, Naaman Kam, Neta Erez, et al.. (2004). Monoclonal antibody to a DNA‐binding domain of p53 mimics charge structure of DNA: anti‐idiotypes to the anti‐p53 antibody are anti‐DNA. European Journal of Immunology. 34(12). 3623–3632. 10 indexed citations
5.
Kam, Naaman, Irun R. Cohen, & David Harel. (2002). Modeling biological reactivity. 345–353. 11 indexed citations
6.
Kam, Naaman, Irun R. Cohen, & David Harel. (2002). The immune system as a reactive system: modeling T cell activation with statecharts. 15–22. 59 indexed citations
7.
Herkel, Johannes, Avishai Mimran, Neta Erez, et al.. (2001). Autoimmunity to the p53 Protein is a Feature of Systemic Lupus Erythematosus (SLE) Related to Anti-DNA Antibodies. Journal of Autoimmunity. 17(1). 63–69. 40 indexed citations
8.
Hershkoviz, Rami, et al.. (2000). TNF-α Associated with Extracellular Matrix Fibronectin Provides a Stop Signal for Chemotactically Migrating T Cells. The Journal of Immunology. 165(5). 2738–2747. 66 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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