Mark Klinger

4.3k citations
30 papers · 1.7k · h-index 18

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 9
    • Immunotherapy and Immune Responses 7
    • Immunodeficiency and Autoimmune Disorders 3

Mark Klinger

30 papers receiving 1.7k citations

Peers

Mark Klinger
Comparison fields: 5 of 79
  • Immunology 872
  • Oncology 696
  • Hematology 274
  • Cancer Research 200
  • Genetics 127
Replace Andries C. Bloem with:
Andries C. Bloem Netherlands
Matthew Holt United States
Kyoko Ochiai Japan
Janet Ayello United States
Joan Somja Belgium
Masahito Kawazu Japan
Paulo Vidal Campregher Brazil
Robert Wasserman United States
Carsten Reinhardt Germany
Chris Morehouse United States
Mark Klinger relative to Andries C. Bloem Netherlands Andries C. Bloem's profile →
Citations per field
00.5×1.7×
Andries C. Bloem · 1×
Citations per year

Countries citing papers authored by Mark Klinger

Since Specialization
Citations

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

Fields of papers citing papers by Mark Klinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014291
2 2017287
3 2016173
4 2014101
5 200196
6 201289
7 201574
8 201671
9 200063
10 200957
11 200652
12 200850
13 201347
14 200946
15 201540
16 200433
17 201329
18 200326
19 201515
20 201015

About Mark Klinger

Mark Klinger is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Hematology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Immunology (872 citations), Oncology (696 citations), Hematology (274 citations), Cancer Research (200 citations) and Genetics (127 citations). Mark Klinger has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Malek Faham, Lawrence Fong, Yafei Hou, Craig Cummings, Antoni Ribas, Edward Cha, Robert J. Kay, Nigel Killeen, Jianbiao Zheng and Ryan Emerson. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Oncology, Blood, Oncogene and PLoS ONE.

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