Robert Boxer

27 papers receiving 1.6k citations

Peers

Robert Boxer
Comparison fields: 5 of 114
  • Oncology 548
  • Cancer Research 208
  • Molecular Biology 786
  • Aging 16
  • Biotechnology 66
Replace Maarit Tiirikainen with:
Maarit Tiirikainen United States
Mengjia Qian China
David Bomze Israel
Athena Matakidou United Kingdom
Mary Ann Zimmerman United States
Hei‐Cheul Jeung South Korea
Hans-Juergen Schulten Saudi Arabia
Daniel G. Stover United States
Jiao Zhang China
Melissa Cunningham United States
Robert Boxer relative to Maarit Tiirikainen United States Maarit Tiirikainen's profile →
Citations per field
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Maarit Tiirikainen · 1×
Citations per year

Countries citing papers authored by Robert Boxer

Since Specialization
Citations

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

Fields of papers citing papers by Robert Boxer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007356
2 2001326
3 2002169
4 2004139
5 202094
6 201282
7 200677
8 200645
9 201040
10 202038
11 202033
12 199533
13 202233
14 201731
15 200925
16 201619
17 201719
18 201516
19 202215
20 202114

About Robert Boxer

Robert Boxer is a scholar working on Oncology, General Health Professions, Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Cancer Cells and Metastasis (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Heart Failure Treatment and Management (2 papers), Healthcare Technology and Patient Monitoring (2 papers), Family and Patient Care in Intensive Care Units (2 papers), Cancer Research and Treatments (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Oncology (548 citations), Cancer Research (208 citations), Molecular Biology (786 citations), Aging (16 citations) and Biotechnology (66 citations). Robert Boxer has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include Lewis A. Chodosh, Susan E. Moody, Douglas B. Stairs, George K. Belka, Christopher J. Sarkisian, Edward J. Gunther, Joanne Jang, Jeffrey L. Schnipper, Jennifer L. Hartman and Alexander Golant. Their work appears in journals such as Journal of Hospital Medicine, Journal of the American Medical Informatics Association, Journal of General Internal Medicine, Applied Clinical Informatics and Journal of Medical Internet Research.

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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