Ada W. Goldfarb

2.3k citations
45 papers · 2.0k · h-index 26

Impact in

Papers in

Ada W. Goldfarb

45 papers receiving 1.9k citations

Peers

Ada W. Goldfarb
Comparison fields: 5 of 68
  • Genetics 960
  • Complementary and Manual Therapy 25
  • Hematology 127
  • Nephrology 62
  • Biochemistry 25
Replace Stavroula Tsiara with:
Stavroula Tsiara Greece
M Shingu Japan
Yinke Yang United States
Marianne C. L. Schaap Netherlands
Xiaodan Li China
Hong‐Hwa Chen Taiwan
Beate M. Rüger Austria
Ning Zhou China
Jessica L. Li United States
Vicenta Martínez‐Sales Spain
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Citations per field
00.5×2×4×6.9×
Stavroula Tsiara · 1×
Citations per year

Countries citing papers authored by Ada W. Goldfarb

Since Specialization
Citations

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

Fields of papers citing papers by Ada W. Goldfarb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ada W. Goldfarb. 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 Ada W. Goldfarb. The network helps show where Ada W. Goldfarb may publish in the future.

Co-authors

The 25 scholars most cited alongside Ada W. Goldfarb, 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 Ada W. Goldfarb Line = papers co-authored together Ada W. Goldfarb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001188
2 2003135
3 1997121
4 2000117
5 2004105
6 199997
7 199187
8 199584
9 199680
10 200061
11 200653
12 199752
13 199150
14 199148
15
Diversity of beta-globin mutations in Israeli ethnic groups reflects recent historic events.
199447
16 199847
17 198941
18 200841
19 200339
20 198637

About Ada W. Goldfarb

Ada W. Goldfarb is a scholar working on Genetics, Complementary and Manual Therapy, Hematology, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (26 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Salivary Gland Disorders and Functions (1 paper), Temporomandibular Joint Disorders (1 paper), Gallbladder and Bile Duct Disorders (1 paper), Head and Neck Surgical Oncology (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Genetics (960 citations), Complementary and Manual Therapy (25 citations), Hematology (127 citations), Nephrology (62 citations) and Biochemistry (25 citations). Ada W. Goldfarb has collaborated with scholars based in Israel, Germany and South Africa. Frequent co-authors include Eliezer A. Rachmilewitz, Eitan Fibach, Johnny Amer, Amiram Eldor, Maria Idelson, Rivka Dresner Pollak, Anat Blumenfeld, Yossi Cohen, Aaron Polliack and Jacques Maclouf. Their work appears in journals such as British Journal of Haematology, Blood, American Journal of Hematology, European Journal Of Haematology and Acta Haematologica.

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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