Ronit Bakimer

2k citations
36 papers · 1.7k · h-index 20

Impact in

Papers in

Ronit Bakimer

35 papers receiving 1.6k citations

Peers

Ronit Bakimer
Comparison fields: 5 of 60
  • Rheumatology 934
  • Pathology and Forensic Medicine 389
  • Immunology 221
  • Hepatology 68
  • Developmental Neuroscience 10
Replace Dana Cavill with:
Dana Cavill Australia
Hans Peter Seelig Germany
Malin Viktoria Jonsson Norway
Alejandro Ruíz-Argüelles Mexico
Tharwat Haj Israel
Norihiro Sato Japan
Hua Ling Canada
M Błaszczyk Poland
Yoshiaki Tokano Japan
Conn Dl United States
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Citations per field
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Citations per year

Countries citing papers authored by Ronit Bakimer

Since Specialization
Citations

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

Fields of papers citing papers by Ronit Bakimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ronit Bakimer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ronit Bakimer Line = papers co-authored together Ronit Bakimer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988267
2 1992266
3 2005209
4 1997150
5 1993119
6 199689
7 199375
8 199356
9
The genetic regulation of the induction of experimental SLE.
199048
10 199247
11 199046
12 199336
13 199231
14 199527
15
Expression of an interspecies idiotype in sera of SLE patients and their first-degree relatives.
198825
16 199425
17 199024
18 199124
19 199723
20 198821

About Ronit Bakimer

Ronit Bakimer is a scholar working on Rheumatology, Hepatology, Pathology and Forensic Medicine, Immunology and Neurology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (23 papers), Liver Diseases and Immunity (5 papers), Reproductive System and Pregnancy (2 papers), Multiple Sclerosis Research Studies (2 papers), Systemic Sclerosis and Related Diseases (1 paper), Mitochondrial Function and Pathology (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Spinal Cord Injury Research (1 paper). The work is most often cited by research in Rheumatology (934 citations), Pathology and Forensic Medicine (389 citations), Immunology (221 citations), Hepatology (68 citations) and Developmental Neuroscience (10 citations). Ronit Bakimer has collaborated with scholars based in Israel, United Kingdom and United States. Frequent co-authors include Yehuda Shoenfeld, Meir Djaldetti, Pnina Fishman, Miri Blank, B Sredni, Edna Mozes, Shlomo Mendlovic, Stefan Brocke, A. Meshorer and Moise Ben-Bassat. Their work appears in journals such as Lupus, Journal of Clinical Immunology, Immunology Letters, Journal of Clinical Investigation and European Journal of Immunology.

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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