Melanie Märklin

2.2k citations
49 papers · 686 · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 18
    • T-cell and B-cell Immunology 6
    • CAR-T cell therapy research 19

Melanie Märklin

46 papers receiving 681 citations

Peers

Melanie Märklin
Comparison fields: 5 of 64
  • Immunology 364
  • Oncology 295
  • Hematology 100
  • Infectious Diseases 98
  • Genetics 54
Replace Jonas S. Heitmann with:
Jonas S. Heitmann Germany
Cecilia Muñoz‐Calleja Spain
Joy Hsu United States
Patrick Schlegel Germany
Keith M. Hamel United States
Arnika Kathleen Wagner Sweden
Edith Roth Germany
R. Handgretinger Germany
Tatsunori Goto Japan
Mehmet H. Kocoglu United States
Melanie Märklin relative to Jonas S. Heitmann Germany Jonas S. Heitmann's profile →
Citations per field
00.5×
Jonas S. Heitmann · 1×
Citations per year

Countries citing papers authored by Melanie Märklin

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Märklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 201278
3 201778
4 202169
5 202038
6 201935
7 202232
8 201730
9 201921
10 202019
11 202218
12 202213
13 202312
14 202111
15 201811
16 202110
17 20208
18 20247
19 20227
20 20247

About Melanie Märklin

Melanie Märklin is a scholar working on Immunology, Oncology, Molecular Biology, Genetics and Hematology, having authored 49 papers that have together received 686 indexed citations. Recurring topics across this work include CAR-T cell therapy research (19 papers), Immune Cell Function and Interaction (18 papers), Chronic Lymphocytic Leukemia Research (12 papers), Acute Myeloid Leukemia Research (10 papers), Signaling Pathways in Disease (6 papers), T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Immunology (364 citations), Oncology (295 citations), Hematology (100 citations), Infectious Diseases (98 citations) and Genetics (54 citations). Melanie Märklin has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Helmut R. Salih, Jonas S. Heitmann, Clemens Hinterleitner, Gundram Jung, Hans‐Georg Kopp, Hans‐Georg Rammensee, Joseph Kauer, Juliane S. Walz, Ilona Hagelstein and Malte Roerden. Their work appears in journals such as Blood, Frontiers in Immunology, Journal for ImmunoTherapy of Cancer, Cancers and Scientific Reports.

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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