Jonathan Sive

1.5k citations
30 papers · 355 · h-index 10

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 17
    • Acute Myeloid Leukemia Research 4
    • Hematopoietic Stem Cell Transplantation 2
    • Protein Degradation and Inhibitors 2

Jonathan Sive

23 papers receiving 351 citations

Peers

Jonathan Sive
Comparison fields: 5 of 44
  • Hematology 177
  • Public Health, Environmental and Occupational Health 152
  • Pediatrics, Perinatology and Child Health 64
  • Oncology 78
  • Neurology 38
Replace A von Stackelberg with:
A von Stackelberg Germany
Lucie Šrámková Czechia
Erin H. Breese United States
Nora Mühlegger Austria
Smita Dandekar United States
Manabu Sotomatsu Japan
Andrea Barth Switzerland
Valentina Bertaina Italy
Carl Philipp Schwarze Germany
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Citations per field
00.5×4.3×
A von Stackelberg · 1×
Citations per year

Countries citing papers authored by Jonathan Sive

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Sive

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012155
2 202137
3 201225
4 201222
5 201422
6 202113
7 202011
8 201311
9 202210
10 201510
11 20228
12 20225
13 20215
14 20214
15 20224
16 20103
17 20223
18 20232
19 20241
20 20241

About Jonathan Sive

Jonathan Sive is a scholar working on Hematology, Molecular Biology, Neurology, Genetics and Oncology, having authored 30 papers that have together received 355 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Peripheral Neuropathies and Disorders (6 papers), Acute Myeloid Leukemia Research (4 papers), Hereditary Neurological Disorders (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer Treatment and Pharmacology (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Hematology (177 citations), Public Health, Environmental and Occupational Health (152 citations), Pediatrics, Perinatology and Child Health (64 citations), Oncology (78 citations) and Neurology (38 citations). Jonathan Sive has collaborated with scholars based in United Kingdom, United States and Greece. Frequent co-authors include Anthony H. Goldstone, Berthold Göttgens, Susan Richards, Adele K. Fielding, David I. Marks, Mark R. Litzow, Georgina Buck, Martin S. Tallman, Andrew McMillan and Hillard M. Lazarus. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia, Supportive Care in Cancer and HemaSphere.

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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