Ian M. Waxman

14.9k citations
35 papers · 2.8k indexed · 2 hit papers · h-index 15
Topics
Cancer Immunotherapy and Biomarkers (20 papers)Renal cell carcinoma treatment (12 papers)CAR-T cell therapy research (11 papers)

In The Last Decade

Ian M. Waxman

34 papers receiving 2.7k citations

Hit Papers

Safety Profile of Nivolumab Monotherapy: A Pooled Analysi...201420262018202220172014250500750

Peers

Ian M. Waxman
Comparison fields: 5 of 85
  • Oncology 2.3k
  • Pulmonary and Respiratory Medicine 993
  • Immunology 717
  • Molecular Biology 434
  • Cancer Research 294
Replace Stefan Diem with:
Stefan Diem Switzerland
Leila Khoja United Kingdom
Michael McCleod United States
Jung Yong Hong South Korea
Jerome H. Goldschmidt United States
Leyre Zubiri United States
Claire F. Friedman United States
Dwight H. Owen United States
Young Wha Koh South Korea
Kosei Hasegawa Japan
Ian M. Waxman relative to Stefan Diem Switzerland Stefan Diem's profile →
Citations per field
00.5×3.2×
Stefan Diem · 1×
Citations per year

Countries citing papers authored by Ian M. Waxman

Since Specialization
Citations

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

Fields of papers citing papers by Ian M. Waxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian M. Waxman

This figure shows the co-authorship network connecting the top 25 collaborators of Ian M. Waxman. A scholar is included among the top collaborators of Ian M. Waxman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian M. Waxman. Ian M. Waxman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 142
4 3
5 89
6 57
7 12
8 33
9 27
10 1
11 3
12 11
13
Nivolumab for Metastatic Renal Cell Carcinoma: Results of a Randomized Phase II Trialbreakdown →
865
14 55
15 1
16 29
17 68
18 18
19 0
20 1

About Ian M. Waxman

Ian M. Waxman is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (20 papers), Renal cell carcinoma treatment (12 papers) and CAR-T cell therapy research (11 papers). The work is most often cited by research in Oncology (2.3k citations), Immunology (717 citations) and Pulmonary and Respiratory Medicine (993 citations). Ian M. Waxman has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Robert J. Motzer, Elizabeth R. Plimack, Caroline Robert, Hans J. Hammers, Saby George, Joel Jiang, Mario Sznol, Suzanne L. Topalian, Dirk Schadendorf and Jeffrey S. Weber. Their work appears in journals such as Journal of Clinical Oncology, Blood and Annals of 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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