C Allred

945 citations
19 papers · 784 · h-index 10

Impact in

Papers in

C Allred

17 papers receiving 743 citations

Peers

C Allred
Comparison fields: 5 of 77
  • Cancer Research 161
  • Parasitology 67
  • Oncology 256
  • Ophthalmology 74
  • Immunology 145
Replace Christopher A. Lundquist with:
Christopher A. Lundquist United States
Aaron R. Ellison United States
Paul I. Nadler United States
Eduardo Finger United States
Mariko Honda Japan
John G. Pizzolo United States
Bert Top Netherlands
Katharina‐Susanne Spanaus Switzerland
Hideki Tsujimura Japan
J Zeromski Poland
C Allred relative to Christopher A. Lundquist United States Christopher A. Lundquist's profile →
Citations per field
00.5×4.6×
Christopher A. Lundquist · 1×
Citations per year

Countries citing papers authored by C Allred

Since Specialization
Citations

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

Fields of papers citing papers by C Allred

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1990278
2 1980103
3
Prognostic value of Ki-67 compared to S-phase fraction in axillary node-negative breast cancer.
199690
4 198566
5 197863
6 199761
7 198535
8
Strain variation of bacillus Calmette-Guerin-induced pulmonary granuloma formation is correlated with anergy and the local production of migration inhibition factor and interleukin 1.
198533
9 198522
10 201212
11 20096
12 20235
13 20094
14 20032
15 20102
16 19951
17 20131
18 20250
19 20150

About C Allred

C Allred is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Surgery, having authored 19 papers that have together received 784 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Cancer Treatment and Pharmacology (2 papers), Coronary Interventions and Diagnostics (2 papers), Cancer-related Molecular Pathways (2 papers), Advanced Breast Cancer Therapies (2 papers), Estrogen and related hormone effects (2 papers), Peripheral Artery Disease Management (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Cancer Research (161 citations), Parasitology (67 citations), Oncology (256 citations), Ophthalmology (74 citations) and Immunology (145 citations). C Allred has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Robert Bookstein, Pascale Rio, William E. Grizzle, Wen‐Hwa Lee, Frank Hong, Steven A. Madreperla, Alan G. Barbour, C. O. Solberg, H. R. Hill and Takeshi Yoshida. Their work appears in journals such as Cancer Research, The Journal of Immunology, Infection and Immunity, Proceedings of the National Academy of Sciences and European Journal of Cancer.

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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