Clint Divine

450 citations
16 papers · 265 · h-index 8

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • CAR-T cell therapy research
    • Polyomavirus and related diseases

Papers in

    • CAR-T cell therapy research 5
    • Polyomavirus and related diseases 2
    • Hematopoietic Stem Cell Transplantation 5
    • Multiple Myeloma Research and Treatments 3
    • Acute Myeloid Leukemia Research 2

Clint Divine

16 papers receiving 259 citations

Peers

Clint Divine
Comparison fields: 5 of 42
  • Hematology 74
  • Oncology 172
  • Genetics 31
  • Infectious Diseases 31
  • Transplantation 3
Replace Hidekazu Itamura with:
Hidekazu Itamura Japan
Muriel Picard France
Rafic Farah United States
David Beauvais France
Ben Carpenter United Kingdom
Noa G. Holtzman United States
Lip Kun Tan Singapore
Uri Greenbaum Israel
Xingyu Cao China
Zahra Mahmoudjafari United States
Clint Divine relative to Hidekazu Itamura Japan Hidekazu Itamura's profile →
Citations per field
00.5×1.7×
Hidekazu Itamura · 1×
Citations per year

Countries citing papers authored by Clint Divine

Since Specialization
Citations

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

Fields of papers citing papers by Clint Divine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202283
2 201043
3 202133
4 201529
5 202017
6 201117
7 202113
8 20178
9 20195
10 20205
11 20074
12 20223
13 20232
14 20181
15 20191
16 20051

About Clint Divine

Clint Divine is a scholar working on Oncology, Hematology, Genetics, Economics and Econometrics and Infectious Diseases, having authored 16 papers that have together received 265 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), CAR-T cell therapy research (5 papers), Multiple Myeloma Research and Treatments (3 papers), Economic and Financial Impacts of Cancer (3 papers), Acute Myeloid Leukemia Research (2 papers), Polyomavirus and related diseases (2 papers), Biomedical Ethics and Regulation (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (74 citations), Oncology (172 citations), Genetics (31 citations), Infectious Diseases (31 citations) and Transplantation (3 citations). Clint Divine has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Joseph P. McGuirk, Siddhartha Ganguly, Sunil Abhyankar, Leyla Shune, Muhammad Umair Mushtaq, Omar S. Aljitawi, Rajat Bansal, Moazzam Shahzad, Nausheen Ahmed and Zahra Mahmoudjafari. Their work appears in journals such as Transplantation and Cellular Therapy, Biology of Blood and Marrow Transplantation, Leukemia Research, Clinical Transplantation and Blood.

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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