Olga I. Gan

6.4k citations
51 papers · 4.1k indexed · 2 hit papers · h-index 22
Topics
Hematopoietic Stem Cell Transplantation (22 papers)Immune Cell Function and Interaction (12 papers)Mesenchymal stem cell research (7 papers)

In The Last Decade

Olga I. Gan

48 papers receiving 4.1k citations

Hit Papers

Variable Clonal Repopulation Dynamics Influence Chemother...201220262016202120122015100200300400500

Peers

Olga I. Gan
Comparison fields: 5 of 108
  • Molecular Biology 2.0k
  • Hematology 1.6k
  • Immunology 1.1k
  • Oncology 1.0k
  • Genetics 745
Replace Françoise Pflumio with:
Françoise Pflumio France
Teri Johnson United States
Louise E. Purton Australia
Virginia C. Broudy United States
Yohei Morita Japan
Hanno Hock United States
M Valtieri Italy
Hirokazu Shigematsu United States
Grant A. Challen United States
Frank Rosenbauer Germany
Olga I. Gan relative to Françoise Pflumio France Françoise Pflumio's profile →
Citations per field
00.5×1.5×
Françoise Pflumio · 1×
Citations per year

Countries citing papers authored by Olga I. Gan

Since Specialization
Citations

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

Fields of papers citing papers by Olga I. Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olga I. Gan. 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 Olga I. Gan. The network helps show where Olga I. Gan may publish in the future.

Co-authorship network of co-authors of Olga I. Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Olga I. Gan. A scholar is included among the top collaborators of Olga I. Gan 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 Olga I. Gan. Olga I. Gan 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
#WorkIndexed citations
1 26
2 6
3 0
4
Distinct routes of lineage development reshape the human blood hierarchy across ontogenybreakdown →
493
5
Variable Clonal Repopulation Dynamics Influence Chemotherapy Response in Colorectal Cancerbreakdown →
557
6 209
7 381
8 39
9 119
10 215
11 13
12 113
13 17
14 148
15 50
16 484
17 8
18 33
19
Biodegradation of Synthetic Biphasic Calcium Phosphate and Biological Calcified Substratum by Cells of Hemopoietic Origin
9
20 8

About Olga I. Gan

Olga I. Gan is a scholar working on Hematology, Genetics and Immunology, having authored 51 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), Immune Cell Function and Interaction (12 papers) and Mesenchymal stem cell research (7 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (745 citations) and Immunology (1.1k citations). Olga I. Gan has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include John E. Dick, Monica Doedens, Craig Dorrell, Barbara Murdoch, Joby L. McKenzie, Dominique Bonnet, Mickie Bhatia, Guillermo Güenechea, Faiyaz Notta and Frédéric Mazurier. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

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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