Jonathan J. Havel

15.7k citations
14 papers · 2.7k indexed · 2 hit papers · h-index 13

Jonathan J. Havel

14 papers receiving 2.7k citations

Hit Papers

The evolving landscape of biomarkers for checkpoint inhib...1.6k201620262019202250010001.5k

Peers

Jonathan J. Havel
Comparison fields: 5 of 97
  • Oncology 1.9k
  • Immunology 1.1k
  • Otorhinolaryngology 144
  • Cancer Research 493
  • Pulmonary and Respiratory Medicine 683
Replace Shijun Kang with:
Shijun Kang China
Simon J. Dovedi United Kingdom
Sean P. Pitroda United States
Viswam S. Nair United States
Jason Madore Australia
Tracee L. McMiller United States
Alexis Desrichard United States
Peter Savas Australia
Sofia R. Gameiro United States
Asma Tulbah Saudi Arabia
Jonathan J. Havel relative to Shijun Kang China Shijun Kang's profile →
Citations per field
00.5×2.8×
Shijun Kang · 1×
Citations per year

Countries citing papers authored by Jonathan J. Havel

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Havel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Havel. 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 Jonathan J. Havel. The network helps show where Jonathan J. Havel may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 202113
2 2020125
3
The evolving landscape of biomarkers for checkpoint inhibitor immunotherapybreakdown →
20191591
4 201731
5 201715
6 201721
7 2016101
8
The head and neck cancer immune landscape and its immunotherapeutic implicationsbreakdown →
2016551
9 2016125
10 201526
11 20153
12 201448
13 201223
14 200835

About Jonathan J. Havel

Jonathan J. Havel is a scholar working on Oncology, Immunology and Immunology and Allergy, having authored 14 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (2 papers), Peptidase Inhibition and Analysis (2 papers), Ubiquitin and proteasome pathways (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (1.9k citations), Immunology (1.1k citations) and Otorhinolaryngology (144 citations). Jonathan J. Havel has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Timothy A. Chan, Diego Chowell, Alexis Desrichard, Nadeem Riaz, Luc G.T. Morris, Rajarsi Mandal, Yasin Şenbabaoğlu, A. Ari Hakimi, Ken-Wing Lee and Ian Ganly. Their work appears in journals such as Nature Genetics, Nature reviews. Cancer and Oncogene.

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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