Simon Hallam

775 citations
24 papers · 424 · h-index 9

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • Cancer Treatment and Pharmacology

Papers in

Simon Hallam

22 papers receiving 411 citations

Peers

Simon Hallam
Comparison fields: 5 of 66
  • Hematology 168
  • Oncology 142
  • Immunology 113
  • Genetics 45
  • Pathology and Forensic Medicine 53
Replace Yoshiaki Kuroda with:
Yoshiaki Kuroda Japan
Miki Kiyota Japan
Kristina Sohlbach Germany
Chiara Palmi Italy
Kaoru Hatano Japan
O. J. H. M. Verhagen Netherlands
Melinda Pauly United States
A. E. Irvine United Kingdom
Luca De Rosa Italy
Hideaki Sakabe Japan
Simon Hallam relative to Yoshiaki Kuroda Japan Yoshiaki Kuroda's profile →
Citations per field
00.5×1.7×
Yoshiaki Kuroda · 1×
Citations per year

Countries citing papers authored by Simon Hallam

Since Specialization
Citations

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

Fields of papers citing papers by Simon Hallam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008106
2 201099
3 200950
4 200939
5 201527
6 201224
7 199821
8 201314
9 202110
10 20225
11 20215
12 20164
13 20153
14 20113
15 20113
16 20212
17 20142
18 20102
19
Skills in England 2003: Volume 2, research report
20042
20 20071

About Simon Hallam

Simon Hallam is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Molecular Biology and Genetics, having authored 24 papers that have together received 424 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers), Immune cells in cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Platelet Disorders and Treatments (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (168 citations), Oncology (142 citations), Immunology (113 citations), Genetics (45 citations) and Pathology and Forensic Medicine (53 citations). Simon Hallam has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Heather Oakervee, John G. Gribben, Rakesh Popat, Jamie Cavenagh, Nicola Foot, Maria Calaminici, Thorsten Hagemann, Mary Drake, Nicola Curry and Dixie‐Lee Esseltine. Their work appears in journals such as Blood, British Journal of Haematology, Heart, Best Practice & Research Clinical Haematology and HemaSphere.

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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