Martin Ullmann

531 citations
18 papers · 399 · h-index 9

Impact in

Papers in

    • Biosimilars and Bioanalytical Methods 13
    • CAR-T cell therapy research 3
    • Neutropenia and Cancer Infections 2
    • Bone health and treatments 1

Martin Ullmann

18 papers receiving 370 citations

Peers

Martin Ullmann
Comparison fields: 5 of 62
  • Immunology 290
  • Biophysics 19
  • Radiology, Nuclear Medicine and Imaging 66
  • Oncology 61
  • Pediatrics, Perinatology and Child Health 41
Replace Theresa Maria Kolben with:
Theresa Maria Kolben Germany
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Lars R. Herda Germany
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Citations per field
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Citations per year

Countries citing papers authored by Martin Ullmann

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ullmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200586
2 201655
3 201953
4 201850
5 201639
6 201926
7 202415
8 201712
9
On the psyche and warts. I. Suggestion and warts: a review and comment.
199810
10 20179
11
High bone-binding capacity of ibandronate in hemodialysis patients.
20058
12 20238
13 20227
14 20247
15 20204
16 20204
17 20234
18
Maximizing SAP ERP Financials Accounts Payable
20082

About Martin Ullmann

Martin Ullmann is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Nephrology and Genetics, having authored 18 papers that have together received 399 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (13 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (3 papers), CAR-T cell therapy research (3 papers), Neutropenia and Cancer Infections (2 papers), Virus-based gene therapy research (1 paper), Folate and B Vitamins Research (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Immunology (290 citations), Biophysics (19 citations), Radiology, Nuclear Medicine and Imaging (66 citations), Oncology (61 citations) and Pediatrics, Perinatology and Child Health (41 citations). Martin Ullmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Christopher John Edwards, Jana Tresnak Hercogova, Kim Alexander Papp, Sanjeev Roy, Volker Jean Wagner, Tim Mant, Michael Ståhl, Corinne Petit-Frere, Dominique Gouty and Vijay Kumar. Their work appears in journals such as Bioanalysis, The AAPS Journal, Pharmacology Research & Perspectives, British Journal of Clinical Pharmacology and Clinical Therapeutics.

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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