Clint Divine

438 citations
16 papers · 259 · 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 6
    • Multiple Myeloma Research and Treatments 3
    • Acute Myeloid Leukemia Research 2

Clint Divine

16 papers receiving 253 citations

Peers

Clint Divine
Comparison fields: 5 of 42
  • Hematology 81
  • Oncology 180
  • Genetics 33
  • Infectious Diseases 46
  • Pathology and Forensic Medicine 20
Replace Hidekazu Itamura with:
Hidekazu Itamura Japan
Uri Greenbaum Israel
Muriel Picard France
David Beauvais France
Xingyu Cao China
Evandro D. Bezerra United States
Trent Wang United States
M Kawakami Japan
Katherine P. Hoversten United States
Forat Lutfi United States
Clint Divine relative to Hidekazu Itamura Japan Hidekazu Itamura's profile →
Citations per field
00.5×1.5×1.8×
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 202277
2 201043
3 202133
4 201529
5 202017
6 201117
7 202112
8 20179
9 20205
10 20195
11 20074
12 20223
13 20232
14 20051
15 20181
16 20191

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 259 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), CAR-T cell therapy research (5 papers), Economic and Financial Impacts of Cancer (3 papers), Multiple Myeloma Research and Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Polyomavirus and related diseases (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (81 citations), Oncology (180 citations), Genetics (33 citations), Infectious Diseases (46 citations) and Pathology and Forensic Medicine (20 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, Rajat Bansal, Nausheen Ahmed, Omar S. Aljitawi, Moazzam Shahzad and Muhammad Salman Faisal. 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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