James Hilger

724 citations
41 papers · 511 · h-index 13

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Chronic Lymphocytic Leukemia Research 23
    • Multiple Myeloma Research and Treatments 11
    • Chronic Myeloid Leukemia Treatments 6

James Hilger

39 papers receiving 505 citations

Peers

James Hilger
Comparison fields: 5 of 60
  • Genetics 269
  • Hematology 189
  • Pathology and Forensic Medicine 192
  • Oncology 141
  • Immunology 56
Replace Peter Holman with:
Peter Holman United States
Panagiotis Zikos Greece
U Schmücker Germany
Emma Gudgin United Kingdom
Lilianne Kim United States
Pauline Lansiaux France
Philip M. Wade United States
Alexandre Bazinet United States
Matthew L. Ulrickson United States
Cecilia Isaksson Sweden
James Hilger relative to Peter Holman United States Peter Holman's profile →
Citations per field
00.5×4.6×
Peter Holman · 1×
Citations per year

Countries citing papers authored by James Hilger

Since Specialization
Citations

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

Fields of papers citing papers by James Hilger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202056
3 201455
4 201334
5 201125
6 201623
7 200922
8 201619
9 202317
10 202316
11 200816
12 201015
13 201715
14 202212
15 202211
16 201510
17 20129
18 20198
19 20187
20 20217

About James Hilger

James Hilger is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 41 papers that have together received 511 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (23 papers), Lymphoma Diagnosis and Treatment (13 papers), Multiple Myeloma Research and Treatments (11 papers), Protein Degradation and Inhibitors (6 papers), Cancer Treatment and Pharmacology (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Lymphoblastic Leukemia research (5 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Genetics (269 citations), Hematology (189 citations), Pathology and Forensic Medicine (192 citations), Oncology (141 citations) and Immunology (56 citations). James Hilger has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Constantine S. Tam, Jane Huang, Youram Nassir, Regina A. Swift, Stephen Opat, James R. Berenson, David Simpson, Robert Vescio, Ori Yellin and Ralph V. Boccia. Their work appears in journals such as Blood, Journal of Clinical Oncology, Hematological Oncology, Annals of Hematology and Vision Research.

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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