William E. Hobbs

1.8k citations
31 papers · 949 · h-index 15

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
  • Genetics top 10%
    • Virus-based gene therapy research
    • Hemoglobinopathies and Related Disorders

Papers in

    • Blood groups and transfusion 11
    • Platelet Disorders and Treatments 4
    • Iron Metabolism and Disorders 4
    • Hemoglobinopathies and Related Disorders 10
    • Chronic Lymphocytic Leukemia Research 4

William E. Hobbs

28 papers receiving 907 citations

Peers

William E. Hobbs
Comparison fields: 5 of 87
  • Hematology 283
  • Genetics 139
  • Immunology 274
  • Epidemiology 321
  • Virology 33
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Citations per field
00.5×6.3×
Laphalle Fuller · 1×
Citations per year

Countries citing papers authored by William E. Hobbs

Since Specialization
Citations

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

Fields of papers citing papers by William E. Hobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Hobbs. 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 William E. Hobbs. The network helps show where William E. Hobbs may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999181
2 2002151
3 2021142
4 201176
5 200147
6 202242
7 200338
8 201738
9 197237
10 197134
11 201328
12 198224
13 201622
14 201222
15 202214
16 202013
17 20198
18 19747
19 19796
20 20195

About William E. Hobbs

William E. Hobbs is a scholar working on Hematology, Genetics, Molecular Biology, Immunology and Epidemiology, having authored 31 papers that have together received 949 indexed citations. Recurring topics across this work include Blood groups and transfusion (11 papers), Hemoglobinopathies and Related Disorders (10 papers), Platelet Disorders and Treatments (4 papers), Iron Metabolism and Disorders (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Herpesvirus Infections and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Hematology (283 citations), Genetics (139 citations), Immunology (274 citations), Epidemiology (321 citations) and Virology (33 citations). William E. Hobbs has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Neal A. DeLuca, Brian J. Manning, Paul E. Carlson, K. Grant Taylor, Alexander Röth, David J. Kuter, Caroline Reuter, Catherine M. Broome, Junmei Chen and Peter J. Lenting. Their work appears in journals such as Blood, Journal of Virology, The Journal of Organic Chemistry, British Journal of Haematology and Arteriosclerosis Thrombosis and Vascular Biology.

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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