L. Esserman

1.1k citations
39 papers · 703 indexed · h-index 7

L. Esserman

35 papers receiving 674 citations

Peers

L. Esserman
Comparison fields: 5 of 85
  • Statistics and Probability 207
  • Cancer Research 261
  • Oncology 168
  • Economics and Econometrics 106
  • Management Science and Operations Research 46
Replace DA Berry with:
DA Berry United States
NM Hylton United States
Martin Jenkins United Kingdom
Donna R. Rivera United States
Kevin J. Carroll United Kingdom
Jared C. Foster United States
Kourosh Parivar United States
Ellie Siden Canada
Aracelis Z. Torres United States
Alastair Matheson United States
L. Esserman relative to DA Berry United States DA Berry's profile →
Citations per field
00.5×1.5×
DA Berry · 1×
Citations per year

Countries citing papers authored by L. Esserman

Since Specialization
Citations

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

Fields of papers citing papers by L. Esserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20241
4 20240
5 20232
6 20230
7 20186
8 201627
9 20160
10 20134
11 20111
12 20111
13 2009496
14 20091
15 20091
16 20092
17 200410
18 20021
19
Biological therapies for breast carcinoma: concepts for improvement in survival.
199916
20 199578

About L. Esserman

L. Esserman is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Immunology, having authored 39 papers that have together received 703 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Cancer Genomics and Diagnostics (6 papers), BRCA gene mutations in cancer (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Breast Implant and Reconstruction (3 papers), Advanced Breast Cancer Therapies (3 papers), Cancer Treatment and Pharmacology (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Statistics and Probability (207 citations), Cancer Research (261 citations), Oncology (168 citations), Economics and Econometrics (106 citations) and Management Science and Operations Research (46 citations). L. Esserman has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include NM Hylton, Kelloff Gj, DA Berry, Amy M. Fulton, Mark Shoemaker, Ernest C. Borden, Michael J. Campbell, Marion Campbell, Corina Marx and Zoran Antonijevic. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, Clinical Pharmacology & Therapeutics 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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