L. Daly

908 citations
20 papers · 746 · h-index 13

Impact in

Papers in

L. Daly

20 papers receiving 725 citations

Peers

L. Daly
Comparison fields: 5 of 76
  • Reproductive Medicine 418
  • Obstetrics and Gynecology 110
  • Cancer Research 118
  • Oncology 177
  • Immunology 115
Replace M. Amneus with:
M. Amneus United States
S. Goodrich United States
J. M. G. Bonfrer Netherlands
Iwona Podzielinski United States
Michel Préfontaine Canada
Isabelle Cadron Belgium
Svend A. Engelholm Denmark
Susan Schumer United States
Russell Broaddus United States
Lotte Nedergaard Denmark
L. Daly relative to M. Amneus United States M. Amneus's profile →
Citations per field
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M. Amneus · 1×
Citations per year

Countries citing papers authored by L. Daly

Since Specialization
Citations

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

Fields of papers citing papers by L. Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1993158
2 199590
3 199167
4 199157
5
Preoperative serum tumor-associated antigen levels in women with pelvic masses.
199057
6 199149
7 199145
8 199044
9 199338
10 199832
11 198626
12
Association of chromosome 11 locus D11S12 with histology, stage, and metastases in lung cancer.
199820
13 200615
14 199210
15
Anthropometric standards for Irish newborn.
19839
16 19949
17
Cyclophosphamide, prednisone, staphage lysate and warfarin in disseminated breast cancer.
19807
18
A randomised study of dietary intake in patients undergoing radiation therapy.
19816
19 19924
20 19983

About L. Daly

L. Daly is a scholar working on Reproductive Medicine, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 20 papers that have together received 746 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (8 papers), HER2/EGFR in Cancer Research (3 papers), Glycosylation and Glycoproteins Research (3 papers), Reproductive System and Pregnancy (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer, Lipids, and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Reproductive Medicine (418 citations), Obstetrics and Gynecology (110 citations), Cancer Research (118 citations), Oncology (177 citations) and Immunology (115 citations). L. Daly has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert C. Bast, John T. Soper, Daniel L. Clarke‐Pearson, Andrew Berchuck, Feng Xu, David Oram, Robert Woolas, Subramanian Ramakrishnan, Yanhong Yu and Verda J. Hunter. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Cancer, Journal of Clinical Oncology, Gynecologic Oncology and JNCI Journal of the National Cancer Institute.

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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