Philip Imus

1.6k citations
40 papers · 583 · h-index 12

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 15
    • Multiple Myeloma Research and Treatments 8
    • Acute Myeloid Leukemia Research 4
    • CAR-T cell therapy research 4

Philip Imus

35 papers receiving 575 citations

Peers

Philip Imus
Comparison fields: 5 of 72
  • Hematology 361
  • Transplantation 38
  • Immunology 220
  • Oncology 231
  • Genetics 58
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Anna Pawłowska United States
Samer K. Khaled United States
Howard R. Terebelo United States
Liliane Dal Cortivo France
Shannon R. McCurdy United States
Laura Bellio Italy
HM Lazarus United States
Marcello Rotta United States
Ryan Jacobs United States
Woo‐Sung Min South Korea
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Citations per field
00.5×5.3×
Anna Pawłowska · 1×
Citations per year

Countries citing papers authored by Philip Imus

Since Specialization
Citations

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

Fields of papers citing papers by Philip Imus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 202087
3 201956
4 202153
5 201738
6 201836
7 202022
8 202121
9 201919
10 202318
11 202315
12 202112
13 202111
14 201711
15 202110
16 202410
17 20218
18 20207
19 20197
20 20226

About Philip Imus

Philip Imus is a scholar working on Hematology, Oncology, Immunology, Genetics and Pathology and Forensic Medicine, having authored 40 papers that have together received 583 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), Multiple Myeloma Research and Treatments (8 papers), Renal Transplantation Outcomes and Treatments (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Immune Cell Function and Interaction (5 papers), Acute Myeloid Leukemia Research (4 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (361 citations), Transplantation (38 citations), Immunology (220 citations), Oncology (231 citations) and Genetics (58 citations). Philip Imus has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Richard J. Jones, Ivan Borrello, Amy E. DeZern, Kenneth R. Cooke, Lode J. Swinnen, Ephraim J. Fuchs, Richard F. Ambinder, Douglas E. Gladstone, Syed Abbas Ali and Carol Ann Huff. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Blood Advances, Biology of Blood and Marrow Transplantation and Journal of Clinical Oncology.

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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