Jamie Wilhelm

501 citations
15 papers · 376 · h-index 6

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Virus-based gene therapy research

Papers in

    • Polyomavirus and related diseases 4
    • CAR-T cell therapy research 4
    • Cytomegalovirus and herpesvirus research 4

Jamie Wilhelm

11 papers receiving 372 citations

Peers

Jamie Wilhelm
Comparison fields: 5 of 47
  • Hematology 201
  • Genetics 80
  • Oncology 92
  • Molecular Biology 156
  • Immunology 42
Replace Jodie Ulaszek with:
Jodie Ulaszek United States
Chunlin Zhou China
Ira L. Kraft United States
Ulrich Pascheberg Germany
Bhumi Patel United States
A Kimura Japan
Kadriye Nehir Cosgun United States
Massimo Fabrizio Martelli Italy
Myriam Haltalli United Kingdom
Kira Behrens Australia
Jamie Wilhelm relative to Jodie Ulaszek United States Jodie Ulaszek's profile →
Citations per field
00.5×
Jodie Ulaszek · 1×
Citations per year

Countries citing papers authored by Jamie Wilhelm

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Wilhelm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008239
2 201157
3 200820
4 202220
5 202119
6 20199
7 20105
8
Differentiation of human myeloid leukemia cell line ML-1 induced by retinoic acid and 1,25-dihydroxyvitamin D3.
19903
9 20122
10 20211
11 20201
12 20260
13 20250
14 20180
15 20230

About Jamie Wilhelm

Jamie Wilhelm is a scholar working on Oncology, Epidemiology, Genetics, Molecular Biology and Hematology, having authored 15 papers that have together received 376 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Polyomavirus and related diseases (4 papers), CAR-T cell therapy research (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Acute Myeloid Leukemia Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), DNA Repair Mechanisms (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (201 citations), Genetics (80 citations), Oncology (92 citations), Molecular Biology (156 citations) and Immunology (42 citations). Jamie Wilhelm has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include José A. Cancelas, Michael Jansen, Catherine Fox, Yi Gu, James C. Mulloy, Mark Wunderlich, Jun-Ping Wei, Yi Zheng, Sara Álvarez and Juan C. Cigudosa. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Transplantation and Cellular Therapy, Blood Advances, Haematologica 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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