Daniel Shepshelovich

90 papers receiving 1.2k citations

Peers

Daniel Shepshelovich
Comparison fields: 5 of 115
  • Hematology 189
  • Applied Microbiology and Biotechnology 24
  • Genetics 95
  • Toxicology 27
  • Nephrology 49
Replace Carla Rognoni with:
Carla Rognoni Italy
Jim M. Koeller United States
Achuta Kumar Guddati United States
P. Deteix France
Frank I. Scott United States
E Matthys Belgium
José Luís Poveda Spain
Leah Teoh United States
Chantal Le Guellec France
Ji Yun Lee South Korea
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Citations per year

Countries citing papers authored by Daniel Shepshelovich

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Shepshelovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016176
2 202055
3 201755
4 200646
5 201644
6 202142
7 200939
8 201539
9 201937
10 201936
11 202434
12 202033
13 202130
14 201927
15 201825
16 201924
17 202022
18 202222
19 202021
20 201820

About Daniel Shepshelovich

Daniel Shepshelovich is a scholar working on Economics and Econometrics, Pulmonary and Respiratory Medicine, Oncology, Hematology and Pediatrics, Perinatology and Child Health, having authored 94 papers that have together received 1.3k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Electrolyte and hormonal disorders (7 papers), Meta-analysis and systematic reviews (5 papers), Statistical Methods in Clinical Trials (5 papers), Systemic Lupus Erythematosus Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Erythropoietin and Anemia Treatment (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (189 citations), Applied Microbiology and Biotechnology (24 citations), Genetics (95 citations), Toxicology (27 citations) and Nephrology (49 citations). Daniel Shepshelovich has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Anat Gafter‐Gvili, Benaya Rozen‐Zvi, Tomer Avni, Noam Tau, Uzi Gafter, Hadar Goldvaser, Dafna Yahav, Talia Diker‐Cohen, Yehuda Shoenfeld and Eitan Amir. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Internal Medicine, Acta Haematologica, JAMA Internal Medicine and Mayo Clinic Proceedings.

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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