J Pinkhas

2.9k total citations
188 papers, 2.2k citations indexed

About

J Pinkhas is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J Pinkhas has authored 188 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Genetics, 31 papers in Molecular Biology and 31 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J Pinkhas's work include Blood disorders and treatments (12 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Lysosomal Storage Disorders Research (11 papers). J Pinkhas is often cited by papers focused on Blood disorders and treatments (12 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Lysosomal Storage Disorders Research (11 papers). J Pinkhas collaborates with scholars based in Israel, United States and United Kingdom. J Pinkhas's co-authors include Yehuda Shoenfeld, Abraham Weinberger, Shlomo Berliner, Yechezkel Sidi, Dan Aderka, M Djaldetti, Mati Shaklai, André de Vries, Moshe Aronson and A Zelikovski and has published in prestigious journals such as The Lancet, JAMA and Blood.

In The Last Decade

J Pinkhas

181 papers receiving 2.0k citations

Peers

J Pinkhas
Comparison fields: 5 of 116
  • Molecular Biology 402
  • Physiology 395
  • Pulmonary and Respiratory Medicine 368
  • Surgery 367
  • Hematology 341
Replace Bruce A. Pussell with:
Bruce A. Pussell Australia
J F Moorhead United Kingdom
J. A. Charlesworth Australia
Bruno Fouqueray France
Michael Yaron Israel
E. Rosenmann Israel
Helmut Reichel Germany
Tamotsu Matsuda Japan
Meir Shalit Israel
Samuel Gross United States
Bruce A. Pussell Australia View profile →
Citations per field, relative to J Pinkhas
J Pinkhas · 1×
Citations per year, relative to J Pinkhas
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Countries citing papers authored by J Pinkhas

Since Specialization
Citations

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

Fields of papers citing papers by J Pinkhas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Pinkhas

This figure shows the co-authorship network connecting the top 25 collaborators of J Pinkhas. A scholar is included among the top collaborators of J Pinkhas 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 J Pinkhas. J Pinkhas 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
# Work Indexed citations
1 0
2 8
3 14
4 22
5 12
6 4
7
Theophylline prolongs survival and decreases renal damage in female NZB/W F-1 mice.
1
8 17
9 15
10 5
11 34
12 6
13 3
14 5
15 10
16
Inadvertently induced hypoglycemia.
6
17
Familial hypouricemia due to isolated renal tubular abnormality.
9
18
Frequency and causes of hypouricemia in hospital patients.
3
19 8
20
Immunoglobulin levels in polycythemia vera, erythrocytosis, secondary polycythemia and myelofibrosis.
3

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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