J M Ruehlmann

535 citations
8 papers · 427 indexed · h-index 7
Topics
Immunotherapy and Immune Responses (7 papers)vaccines and immunoinformatics approaches (3 papers)Cancer Research and Treatments (3 papers)

In The Last Decade

J M Ruehlmann

8 papers receiving 404 citations

Peers

J M Ruehlmann
Comparison fields: 5 of 45
  • Immunology 281
  • Molecular Biology 162
  • Oncology 119
  • Biotechnology 119
  • Genetics 85
Replace Nuno Viegas with:
Nuno Viegas Germany
Leslie S. Casey United States
Maria Rathmann Sørensen Denmark
Alexa Frentzen United States
William Harriman United States
F Anaraki United States
C. Leung United States
Siegfried Weiss Germany
Manas Mandal United States
Lindsay L. Brown United States
J M Ruehlmann relative to Nuno Viegas Germany Nuno Viegas's profile →
Citations per field
00.5×1.5×2.3×
Nuno Viegas · 1×
Citations per year

Countries citing papers authored by J M Ruehlmann

Since Specialization
Citations

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

Fields of papers citing papers by J M Ruehlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J M Ruehlmann

This figure shows the co-authorship network connecting the top 25 collaborators of J M Ruehlmann. A scholar is included among the top collaborators of J M Ruehlmann 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 J M Ruehlmann. J M Ruehlmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 32
2 79
3
MIG(CXCL9)ケモカイン遺伝子療法と抗体-サイトカイン融合蛋白質の併用はマウス結腸癌の増殖と播種を抑制する
1
4
Targeted interleukin 2 therapy enhances protective immunity induced by an autologous oral DNA vaccine against murine melanoma.
44
5 46
6
MIG (CXCL9) chemokine gene therapy combines with antibody-cytokine fusion protein to suppress growth and dissemination of murine colon carcinoma.
50
7
Protective immunity against human carcinoembryonic antigen (CEA) induced by an oral DNA vaccine in CEA-transgenic mice.
44
8 131

About J M Ruehlmann

J M Ruehlmann is a scholar working on Biotechnology, Immunology and Oncology, having authored 8 papers that have together received 427 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), vaccines and immunoinformatics approaches (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Biotechnology (119 citations), Immunology (281 citations) and Oncology (119 citations). J M Ruehlmann has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Carrie S. Dolman, Holger N. Lode, Stephen D. Gillies, Ralph A. Reisfeld, Rong Xiang, Andreas G. Niethammer, F. James Primus, Ursula Pertl, J. Lindsay Whitton and Fernando Rodrı́guez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026