Anna Feldman

982 total citations
22 papers, 556 citations indexed

About

Anna Feldman is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Anna Feldman has authored 22 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Anna Feldman's work include Cytokine Signaling Pathways and Interactions (4 papers), Multiple Sclerosis Research Studies (4 papers) and Glaucoma and retinal disorders (3 papers). Anna Feldman is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Multiple Sclerosis Research Studies (4 papers) and Glaucoma and retinal disorders (3 papers). Anna Feldman collaborates with scholars based in Israel, United States and Spain. Anna Feldman's co-authors include Michael Gurevich, Anat Achiron, James V. Hennessey, Tamir Tuller, Florence M. Brown, Rupendra T. Shrestha, David Magalashvili, Mathilda Mandel, Ran D. Balicer and Arnold H. Kahn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Anna Feldman

21 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Feldman Israel 14 174 144 113 82 66 22 556
Shalom Michowiz Israel 14 123 0.7× 58 0.4× 48 0.4× 34 0.4× 52 0.8× 44 705
Jingjing Yin China 13 141 0.8× 39 0.3× 41 0.4× 61 0.7× 52 0.8× 55 537
Weikan Wang United States 11 178 1.0× 241 1.7× 30 0.3× 22 0.3× 79 1.2× 21 630
Thomas R. Austin United States 14 91 0.5× 70 0.5× 104 0.9× 28 0.3× 105 1.6× 41 618
Nils Schweingruber Germany 8 75 0.4× 132 0.9× 78 0.7× 36 0.4× 35 0.5× 22 435
Ziyan Shi China 15 110 0.6× 90 0.6× 427 3.8× 14 0.2× 39 0.6× 74 701
Joshua M. Kruger Israel 10 205 1.2× 149 1.0× 24 0.2× 7 0.1× 40 0.6× 25 505
Huub Oosterhuis 2 149 0.9× 138 1.0× 66 0.6× 157 1.9× 72 1.1× 2 1.8k
Jing Fu China 14 122 0.7× 19 0.1× 120 1.1× 140 1.7× 31 0.5× 86 952
Yoriko Murata Japan 13 64 0.4× 32 0.2× 66 0.6× 136 1.7× 75 1.1× 44 646

Countries citing papers authored by Anna Feldman

Since Specialization
Citations

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

Fields of papers citing papers by Anna Feldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Feldman

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Feldman. A scholar is included among the top collaborators of Anna Feldman 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 Feldman. Anna Feldman 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.
Nishino, Michiya, Anna Feldman, Amanda Elliott, et al.. (2021). Repeat Fine Needle Aspiration Cytology Refines the Selection of Thyroid Nodules for Afirma Gene Expression Classifier Testing. Thyroid. 31(8). 1253–1263. 24 indexed citations
2.
Achiron, Asaf, et al.. (2020). Effect of Rho-associated kinase inhibitor on human corneal endothelial cell apoptosis. Journal of Cataract & Refractive Surgery. 46(4). 612–616. 8 indexed citations
3.
Achiron, Asaf, et al.. (2019). B-cell related biomarkers associated with severity of the first demyelinating event of acute optic neuritis. Eye. 34(5). 954–959. 1 indexed citations
4.
Achiron, Asaf, Anna Feldman, Irina S. Barequet, et al.. (2018). Prophylactic exposure of human corneal endothelial cells to Rho-associated kinase inhibitor reduced apoptosis rate after phacoemulsification: Ex vivo study. Journal of Cataract & Refractive Surgery. 44(10). 1261–1266. 8 indexed citations
5.
Brown, Florence M., Elizabeth A. Blair, Shanti Serdy, et al.. (2018). CHAPTER 3. Guideline for detection and management of diabetes in pregnancy.. PubMed. 24(7 Spec No.). SP232–SP239. 1 indexed citations
6.
Achiron, Anat, Rina Zilkha‐Falb, Anna Feldman, et al.. (2018). Polymerase-1 pathway activation in acute multiple sclerosis relapse. Autoimmunity Reviews. 17(12). 1235–1239. 5 indexed citations
7.
Feldman, Anna & Florence M. Brown. (2016). Management of Type 1 Diabetes in Pregnancy. Current Diabetes Reports. 16(8). 76–76. 38 indexed citations
8.
Zur, Hadas, et al.. (2015). Rationally designed, heterologousS. cerevisiaetranscripts expose novel expression determinants. RNA Biology. 12(9). 972–984. 35 indexed citations
9.
McNamara, Elizabeth, et al.. (2015). Effect of Clothing on Measurement of Bone Mineral Density. Journal of Clinical Densitometry. 19(2). 216–219. 6 indexed citations
10.
Feldman, Anna, Michael Gurevich, Ruth Huna-Baron, & Anat Achiron. (2015). The Role of B Cells in the Early Onset of the First Demyelinating Event of Acute Optic Neuritis. Investigative Ophthalmology & Visual Science. 56(2). 1349–1356. 11 indexed citations
11.
Feldman, Anna, Rupendra T. Shrestha, & James V. Hennessey. (2013). Neuropsychiatric Manifestations of Thyroid Disease. Endocrinology and Metabolism Clinics of North America. 42(3). 453–476. 58 indexed citations
12.
Achiron, Anat, Anna Feldman, David Magalashvili, Mark Dolev, & Michael Gurevich. (2012). Suppressed RNA-Polymerase 1 Pathway Is Associated with Benign Multiple Sclerosis. PLoS ONE. 7(10). e46871–e46871. 20 indexed citations
13.
Kramer, Michal, Murat Hasanreisoğlu, Anna Feldman, et al.. (2011). Monocyte chemoattractant protein‐1 in the aqueous humour of patients with age‐related macular degeneration. Clinical and Experimental Ophthalmology. 40(6). 617–625. 40 indexed citations
14.
Achiron, Anat, Anna Feldman, & Michael Gurevich. (2011). Characterization of the multiple sclerosis traits: Nuclear receptors (NR) impaired apoptosis pathway and the role of 1-alpha 25-dihydroxyvitamin D3. Journal of the Neurological Sciences. 311(1-2). 9–14. 18 indexed citations
15.
Achiron, Anat, Itamar Grotto, Ran D. Balicer, et al.. (2010). Microarray analysis identifies altered regulation of nuclear receptor family members in the pre-disease state of multiple sclerosis. Neurobiology of Disease. 38(2). 201–209. 66 indexed citations
16.
Gurevich, Michael, et al.. (2010). Laquinimod suppress antigen presentation in relapsing–remitting multiple sclerosis: In-vitro high-throughput gene expression study. Journal of Neuroimmunology. 221(1-2). 87–94. 54 indexed citations
17.
Achiron, Anat, Anna Feldman, & Michael Gurevich. (2009). Molecular profiling of glatiramer acetate early treatment effects in multiple sclerosis.. SHILAP Revista de lepidopterología. 27(2). 63–73. 21 indexed citations
18.
Achiron, Anat, Anna Feldman, & Michael Gurevich. (2009). Molecular Profiling of Glatiramer Acetate Early Treatment Effects in Multiple Sclerosis. Disease Markers. 27(2). 63–73. 21 indexed citations
19.
20.
Kahn, Arnold H., R. Spal, & Anna Feldman. (1977). Eddy-current losses due to a surface crack in conducting material. Journal of Applied Physics. 48(11). 4454–4459. 32 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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