D Carter

1.1k citations
13 papers · 908 · h-index 11

Impact in

Papers in

D Carter

13 papers receiving 869 citations

Peers

D Carter
Comparison fields: 5 of 67
  • Cancer Research 373
  • Pathology and Forensic Medicine 314
  • Otorhinolaryngology 63
  • Oncology 312
  • Endocrinology, Diabetes and Metabolism 166
Replace Marie Ludvíková with:
Marie Ludvíková Czechia
Sergio Rodrı́guez-Cuevas Mexico
J.P. Travagli France
Remigio M. Gregorio United States
Snjez̆ana Frković‐Grazio Slovenia
T Hietanen Finland
Naohito Yamamoto Japan
T F Lioe United Kingdom
Hongfen Lu China
Rüdiger Klaes Germany
D Carter relative to Marie Ludvíková Czechia Marie Ludvíková's profile →
Citations per field
00.5×3.0×
Marie Ludvíková · 1×
Citations per year

Countries citing papers authored by D Carter

Since Specialization
Citations

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

Fields of papers citing papers by D Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside D Carter, 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 D Carter Line = papers co-authored together D Carter links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Insulin-like growth factor-I receptor overexpression mediates cellular radioresistance and local breast cancer recurrence after lumpectomy and radiation.
1997286
2 1999160
3
FMS (CSF-1 receptor) and CSF-1 transcripts and protein are expressed by human breast carcinomas in vivo and in vitro.
1991113
4 200191
5 198766
6 199555
7
Pathology of carcinoma of the lung. Changing patterns.
198253
8 199637
9 199215
10 199614
11 197610
12
Histologic classification and differential diagnosis of mesothelioma.
19816
13
Screening for lung cancer.
19822

About D Carter

D Carter is a scholar working on Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cancer Research and Artificial Intelligence, having authored 13 papers that have together received 908 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (3 papers), Breast Cancer Treatment Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Breast Lesions and Carcinomas (3 papers), AI in cancer detection (2 papers), Cancer Diagnosis and Treatment (2 papers), Immune cells in cancer (1 paper) and Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (373 citations), Pathology and Forensic Medicine (314 citations), Otorhinolaryngology (63 citations), Oncology (312 citations) and Endocrinology, Diabetes and Metabolism (166 citations). D Carter has collaborated with scholars based in United States. Frequent co-authors include Liane E. Philpotts, John A. Kirchner, Elizabeth B. Claus, Bruce G. Haffty, Raymond Yesner, Bruce Turner, L Kaplan, Renato Baserga, Jing Yuan and Andrew A. Gumbs. Their work appears in journals such as American Journal of Roentgenology, Acta Oto-Laryngologica, JNCI Journal of the National Cancer Institute, Radiology and Journal of Clinical Oncology.

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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