Hanna Edelman

453 total citations
11 papers, 340 citations indexed

About

Hanna Edelman is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hanna Edelman has authored 11 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hanna Edelman's work include Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (4 papers). Hanna Edelman is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and T-cell and B-cell Immunology (4 papers). Hanna Edelman collaborates with scholars based in Israel, United Kingdom and United States. Hanna Edelman's co-authors include Ramit Mehr, Neta S. Zuckerman, Deborah K. Dunn‐Walters, Michal Barák, Ron Unger, Gitit Shahaf, Roshini S. Abraham, Rose G. Mage, Devinder Sehgal and Kate Gibson and has published in prestigious journals such as The Journal of Immunology, European Journal of Immunology and Journal of Immunological Methods.

In The Last Decade

Hanna Edelman

11 papers receiving 338 citations

Peers

Hanna Edelman

IMMUN

RNMI

GENET

PFM

Gitit Shahaf Israel

H Yuasa Japan

Ann‐Katrin Clauder Germany

John‐Philip Lawo Germany

Nancy L. Farner United States

Chisako Iriyama Japan

Eva Hug Germany

Haowei Wang United States

Aderajew Waka Germany

Valérie Hanssens Belgium

Gitit Shahaf Israel

Hanna Edelman

292 ×1.3

IMMUN

92 ×0.8

RNMI

109 ×1.0

56 ×0.9

GENET

39 ×0.9

PFM

Citations per year, relative to Hanna Edelman Hanna Edelman (= 1×) peers Gitit Shahaf

Countries citing papers authored by Hanna Edelman

Since Specialization

Citations

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

Fields of papers citing papers by Hanna Edelman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Edelman

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

All Works

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11 of 11 papers shown

Zuckerman, Neta S., Katelyn McCann, Christian H. Ottensmeier, et al.. (2010). Ig gene diversification and selection in follicular lymphoma, diffuse large B cell lymphoma and primary central nervous system lymphoma revealed by lineage tree and mutation analyses. International Immunology. 22(11). 875–887. 30 indexed citations

Zuckerman, Neta S., Wendy Howard, Jacky Bismuth, et al.. (2010). Ectopic GC in the thymus of myasthenia gravis patients show characteristics of normal GC. European Journal of Immunology. 40(4). 1150–1161. 39 indexed citations

Zuckerman, Neta S., et al.. (2010). Somatic hypermutation and antigen-driven selection of B cells are altered in autoimmune diseases. Journal of Autoimmunity. 35(4). 325–335. 41 indexed citations

Barák, Michal, Neta S. Zuckerman, Hanna Edelman, Ron Unger, & Ramit Mehr. (2008). IgTree©: Creating Immunoglobulin variable region gene lineage trees. Journal of Immunological Methods. 338(1-2). 67–74. 87 indexed citations

Abraham, Roshini S., Neta S. Zuckerman, Abhishek Sohni, et al.. (2006). Novel Analysis of Clonal Diversification in Blood B Cell and Bone Marrow Plasma Cell Clones in Immunoglobulin Light Chain Amyloidosis. Journal of Clinical Immunology. 27(1). 69–87. 15 indexed citations

Edelman, Hanna, Michal Barák, Neta S. Zuckerman, et al.. (2006). Lineage tree analysis of immunoglobulin variable-region gene mutations in autoimmune diseases: Chronic activation, normal selection. Cellular Immunology. 244(2). 130–136. 16 indexed citations

Zuckerman, Neta S., Michael Timm, Hanna Edelman, et al.. (2006). Quantitative analysis of clonal bone marrow CD19+ B cells: Use of B cell lineage trees to delineate their role in the pathogenesis of light chain amyloidosis. Clinical Immunology. 120(1). 106–120. 11 indexed citations

Edelman, Hanna, Michal Barák, Gitit Shahaf, et al.. (2005). Immunoglobulin variable-region gene mutational lineage tree analysis: Application to autoimmune diseases. Autoimmunity Reviews. 5(4). 242–251. 14 indexed citations

Dunn‐Walters, Deborah K., Hanna Edelman, & Ramit Mehr. (2004). Immune system learning and memory quantified by graphical analysis of B-lymphocyte phylogenetic trees. Biosystems. 76(1-3). 141–155. 22 indexed citations

10.

Mehr, Ramit, Hanna Edelman, Devinder Sehgal, & Rose G. Mage. (2004). Analysis of Mutational Lineage Trees from Sites of Primary and Secondary Ig Gene Diversification in Rabbits and Chickens. The Journal of Immunology. 172(8). 4790–4796. 29 indexed citations

11.

Dunn‐Walters, Deborah K., et al.. (2002). The Dynamics of Germinal Centre Selection as Measured by Graph‐Theoretical Analysis of Mutational Lineage Trees. Journal of Immunology Research. 9(4). 233–243. 36 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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