Ericka M. Ebot

2.0k citations
35 papers · 923 · h-index 16

Impact in

Papers in

Ericka M. Ebot

34 papers receiving 912 citations

Peers

Ericka M. Ebot
Comparison fields: 5 of 86
  • Cancer Research 284
  • Pulmonary and Respiratory Medicine 327
  • Oncology 201
  • Molecular Biology 296
  • Applied Microbiology and Biotechnology 5
Replace Fredrik Wiklund with:
Fredrik Wiklund Sweden
Xue‐cheng Bi China
Guoming Wu China
Rossella Di Franco Italy
Junichi Kaganoi Japan
John R. Barber United States
Michalina Dąbrowska Poland
Pär Stattin Sweden
Jinxian Pu China
Weijie Gu China
Ericka M. Ebot relative to Fredrik Wiklund Sweden Fredrik Wiklund's profile →
Citations per field
00.5×2×4×6×8.7×
Fredrik Wiklund · 1×
Citations per year

Countries citing papers authored by Ericka M. Ebot

Since Specialization
Citations

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

Fields of papers citing papers by Ericka M. Ebot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ericka M. Ebot. 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 Ericka M. Ebot. The network helps show where Ericka M. Ebot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015157
2 2019132
3 202398
4 202056
5 201650
6 201946
7 201443
8 201840
9 201834
10 202128
11 201625
12 202221
13 201720
14 201820
15 202118
16 202316
17 201715
18 202315
19 202014
20 201913

About Ericka M. Ebot

Ericka M. Ebot is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Microbiology, having authored 35 papers that have together received 923 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Cancer, Lipids, and Metabolism (9 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Lung Cancer Research Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (284 citations), Pulmonary and Respiratory Medicine (327 citations), Oncology (201 citations), Molecular Biology (296 citations) and Applied Microbiology and Biotechnology (5 citations). Ericka M. Ebot has collaborated with scholars based in United States, Sweden and Ireland. Frequent co-authors include Lorelei Ann Mucci, Massimo F. Loda, Edward L. Giovannucci, Kathryn M. Wilson, Tamara Levin Lotan, Travis A. Gerke, Andreas Pettersson, Stephen P. Finn, Michelangelo Fiorentino and Jennifer R. Rider. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Carcinogenesis, Prostate Cancer and Prostatic Diseases, European Urology and 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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