Robert Boxer

2.4k citations
29 papers · 1.6k · h-index 17

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions

Papers in

Robert Boxer

27 papers receiving 1.6k citations

Peers

Robert Boxer
Comparison fields: 5 of 120
  • Oncology 624
  • Cancer Research 223
  • Molecular Biology 849
  • Health Information Management 54
  • Aging 16
Replace Mitchell H. Tsai with:
Mitchell H. Tsai United States
Mamatha Bhat Canada
Enrique Carrillo de Santa Pau Spain
Julian C. Schink United States
Jesper Worm Denmark
Ying Xu China
Fang Wu China
Erin M. Green United States
Won‐Chul Lee South Korea
Chan Zeng United States
Robert Boxer relative to Mitchell H. Tsai United States Mitchell H. Tsai's profile →
Citations per field
00.5×3.0×
Mitchell H. Tsai · 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 2007355
2 2001326
3 2002168
4 2004139
5 202092
6 201282
7 200677
8 200645
9 201040
10 202036
11 199533
12 201729
13 202028
14 202225
15 200924
16 201719
17 201619
18 201515
19 202114
20 202211

About Robert Boxer

Robert Boxer is a scholar working on General Health Professions, Oncology, Emergency Medicine, Molecular Biology and Health Information Management, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (4 papers), Electronic Health Records Systems (4 papers), Geriatric Care and Nursing Homes (4 papers), Cancer Cells and Metastasis (3 papers), Cancer-related Molecular Pathways (3 papers), Family and Patient Care in Intensive Care Units (3 papers), Patient Safety and Medication Errors (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Oncology (624 citations), Cancer Research (223 citations), Molecular Biology (849 citations), Health Information Management (54 citations) and Aging (16 citations). Robert Boxer has collaborated with scholars based in United States, Saudi Arabia and Spain. Frequent co-authors include Lewis A. Chodosh, Susan E. Moody, Douglas B. Stairs, George K. Belka, Christopher J. Sarkisian, Edward J. Gunther, Joanne Jang, Alexander Golant, Jennifer L. Hartman and Celina M. D’Cruz. Their work appears in journals such as Journal of Hospital Medicine, Journal of the American Medical Informatics Association, Applied Clinical Informatics, Journal of General Internal Medicine and Cell Metabolism.

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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