IA Mayer

452 citations
27 papers · 304 · h-index 9

Impact in

Papers in

    • Advanced Breast Cancer Therapies 19
    • Lung Cancer Treatments and Mutations 2
    • Cancer Treatment and Pharmacology 14
    • HER2/EGFR in Cancer Research 10
    • Cancer-related Molecular Pathways 2

IA Mayer

25 papers receiving 301 citations

Peers

IA Mayer
Comparison fields: 5 of 27
  • Oncology 207
  • Pulmonary and Respiratory Medicine 144
  • Cancer Research 60
  • Genetics 37
  • Radiology, Nuclear Medicine and Imaging 36
Replace Tong Luo with:
Tong Luo United States
SA Hurvitz United States
Kevin Chau United States
Hiroji Iwata Japan
Lori Marini United States
SM Tolaney United States
C. Saura Manich Spain
G. Lieberman United States
Markéta Palácová Czechia
Małgorzata Foszczyńska‐Kłoda Poland
IA Mayer relative to Tong Luo United States Tong Luo's profile →
Citations per field
00.5×1.5×
Tong Luo · 1×
Citations per year

Countries citing papers authored by IA Mayer

Since Specialization
Citations

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

Fields of papers citing papers by IA Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020116
2 201946
3 201631
4 200916
5 201812
6 201811
7 201311
8 201311
9 201210
10 20117
11 20174
12 20114
13 20183
14 20193
15 20113
16 20153
17 20043
18 20162
19 20212
20 20121

About IA Mayer

IA Mayer is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (19 papers), Cancer Treatment and Pharmacology (14 papers), HER2/EGFR in Cancer Research (10 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer Genomics and Diagnostics (4 papers), Estrogen and related hormone effects (2 papers), Cancer-related Molecular Pathways (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Oncology (207 citations), Pulmonary and Respiratory Medicine (144 citations), Cancer Research (60 citations), Genetics (37 citations) and Radiology, Nuclear Medicine and Imaging (36 citations). IA Mayer has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Dejan Juric, Aditya Bardia, R Moroose, Linda T. Vahdat, Jennifer R. Diamond, Joyce O’Shaughnessy, Kevin Kalinsky, William A. Wegener, Q. Hong and Pius Maliakal. Their work appears in journals such as Cancer Research, Annals of Oncology, ESMO Open, European Journal of Cancer 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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