Lela Buckingham

1.2k citations
48 papers · 983 indexed · h-index 17

Impact in

Papers in

Lela Buckingham

47 papers receiving 940 citations

Peers

Lela Buckingham
Comparison fields: 5 of 95
  • Oncology 353
  • Filtration and Separation 25
  • Pharmaceutical Science 65
  • Cancer Research 122
  • Molecular Biology 505
Replace Hon‐Wah Man with:
Hon‐Wah Man United States
Arlene R. Cashmore United States
Ken Shiozawa Japan
Yumiko Wada Japan
Karin Winkler Austria
Raghavendra Gowda United States
Richard M. Halpern United States
Mariangela Garofalo Italy
Eric Scholar United States
Ningyu Wang China
Lela Buckingham relative to Hon‐Wah Man United States Hon‐Wah Man's profile →
Citations per field
00.5×6.3×
Hon‐Wah Man · 1×
Citations per year

Countries citing papers authored by Lela Buckingham

Since Specialization
Citations

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

Fields of papers citing papers by Lela Buckingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20202
2 201819
3 20182
4 20185
5 201716
6 201710
7 20173
8 201419
9 201116
10 20111
11 200985
12
Molecular Diagnostics: Fundamentals, Methods and Clinical Applications
200725
13
Activation of the LRP (lung resistance-related protein) gene by short-term exposure of human leukemia cells to phorbol ester and cytarabine.
199820
14 199636
15 199632
16 1995128
17 199585
18 198387
19 198011
20 197713

About Lela Buckingham

Lela Buckingham is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Pathology and Forensic Medicine, having authored 48 papers that have together received 983 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Cancer Genomics and Diagnostics (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Drug Transport and Resistance Mechanisms (5 papers), RNA modifications and cancer (5 papers), BRCA gene mutations in cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Oncology (353 citations), Filtration and Separation (25 citations), Pharmaceutical Science (65 citations), Cancer Research (122 citations) and Molecular Biology (505 citations). Lela Buckingham has collaborated with scholars based in United States. Frequent co-authors include John S. Coon, James L. Duncan, Philip Bonomi, Balasubramanian Mythili Gnanamangai, K.M. Anderson, Pradeep K. Dudeja, Jack Harris, Sanjib Basu, R. Emanuele and Mary J. Fidler. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Cancer, Biochimica et Biophysica Acta (BBA) - Biomembranes, Clinical Cancer Research and Infection and Immunity.

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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