SI Bearman

3.0k total citations
35 papers, 2.3k citations indexed

About

SI Bearman is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, SI Bearman has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 18 papers in Oncology and 7 papers in Immunology. Recurrent topics in SI Bearman's work include Hematopoietic Stem Cell Transplantation (18 papers), Neutropenia and Cancer Infections (7 papers) and Cancer Treatment and Pharmacology (5 papers). SI Bearman is often cited by papers focused on Hematopoietic Stem Cell Transplantation (18 papers), Neutropenia and Cancer Infections (7 papers) and Cancer Treatment and Pharmacology (5 papers). SI Bearman collaborates with scholars based in United States, South Africa and Italy. SI Bearman's co-authors include Claudio Anasetti, P Beatty, Jack W. Singer, LD Fisher, Petersen Fb, FR Appelbaum, CD Buckner, K Doney, Clift Ra and T G Gabig and has published in prestigious journals such as Journal of Clinical Oncology, Blood and European Journal of Cancer.

In The Last Decade

SI Bearman

35 papers receiving 2.2k citations

Peers

SI Bearman
Comparison fields: 5 of 92
  • Hematology 1.4k
  • Oncology 509
  • Molecular Biology 392
  • Immunology 390
  • Genetics 378
Replace Ho‐Jin Shin with:
Ho‐Jin Shin South Korea
Katsuji Shinagawa Japan
Katsuyasu Saigo Japan
Dennis Cooper United States
Jae‐Sook Ahn South Korea
Pietro Muretto Italy
Eeva Juvonen Finland
Jonathan S. Coblyn United States
Leonard T. Heffner United States
Belinda R. Avalos United States
Ho‐Jin Shin South Korea View profile →
Citations per field, relative to SI Bearman
SI Bearman · 1×
Citations per year, relative to SI Bearman
SI Bearman · 1×

Countries citing papers authored by SI Bearman

Since Specialization
Citations

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

Fields of papers citing papers by SI Bearman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SI Bearman

This figure shows the co-authorship network connecting the top 25 collaborators of SI Bearman. A scholar is included among the top collaborators of SI Bearman 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 SI Bearman. SI Bearman 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 7
2 1
3 8
4 2
5 26
6 6
7 30
8 18
9 4
10 7
11
Acute encephalopathy: a new toxicity associated with high-dose paclitaxel.
35
12 247
13
TRANSPLANTATION OF CANCER PATIENTS RECEIVING HIGH DOSE CHEMOTHERAPY WITH EX VIVO EXPANDED CORD BLOOD CELLS
16
14
Transplantation of CD34+ marrow and/or PBPCS into breast cancer patients following high-dose chemotherapy
1
15
Comparison of morbidity and mortality after marrow transplantation from HLA-genotypically identical siblings and HLA-phenotypically identical unrelated donors.
25
16 2
17 233
18 336
19 99
20 152

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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