Jake Allred

597 citations
13 papers · 403 · h-index 8

Impact in

Papers in

    • Cancer Treatment and Pharmacology 5
    • Cutaneous Melanoma Detection and Management 1
    • Cancer therapeutics and mechanisms 2
    • Amyloidosis: Diagnosis, Treatment, Outcomes 2
    • Glycosylation and Glycoproteins Research 1

Jake Allred

13 papers receiving 391 citations

Peers

Jake Allred
Comparison fields: 5 of 46
  • Oncology 247
  • Pathology and Forensic Medicine 76
  • Hematology 44
  • Rheumatology 50
  • Cancer Research 44
Replace Lin Nong with:
Lin Nong China
Olga L. Bohn United States
R. Tubbs United States
Shirley Sundersingh India
Ravin Ratan United States
Phillip Barnette United States
Arthur I. Radin United States
Eisuke Shiozawa Japan
Mónica García‐Cosío Spain
Wendy Deenik Netherlands
Jake Allred relative to Lin Nong China Lin Nong's profile →
Citations per field
00.5×1.5×2.4×
Lin Nong · 1×
Citations per year

Countries citing papers authored by Jake Allred

Since Specialization
Citations

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

Fields of papers citing papers by Jake Allred

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012173
2 200855
3 201148
4 201047
5 201518
6 201018
7 201616
8 201711
9 20086
10 20103
11 20083
12 20103
13 20082

About Jake Allred

Jake Allred is a scholar working on Oncology, Molecular Biology, Hematology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 403 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Cancer Treatment and Pharmacology (5 papers), Cancer therapeutics and mechanisms (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Renal and Vascular Pathologies (1 paper). The work is most often cited by research in Oncology (247 citations), Pathology and Forensic Medicine (76 citations), Hematology (44 citations), Rheumatology (50 citations) and Cancer Research (44 citations). Jake Allred has collaborated with scholars based in United States. Frequent co-authors include Angela Dispenzieri, Susan M. Geyer, Thomas M. Habermann, John Camoriano, Jamés O. Armitage, Kay M. Ristow, Dennis D. Weisenburger, Ahmet Doǧan, David M. Menke and Donald W. Northfelt. Their work appears in journals such as Journal of Clinical Oncology, Blood, American Journal of Hematology, Clinical Cancer Research and Modern Pathology.

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.

Explore authors with similar magnitude of impact