Tina M. Schnöder

29 total papers · 692 total citations
14 papers, 199 citations indexed

About

Tina M. Schnöder is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Tina M. Schnöder has authored 14 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Hematology and 4 papers in Genetics. Recurrent topics in Tina M. Schnöder's work include Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Eosinophilic Disorders and Syndromes (3 papers). Tina M. Schnöder is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Eosinophilic Disorders and Syndromes (3 papers). Tina M. Schnöder collaborates with scholars based in Germany, Australia and United Kingdom. Tina M. Schnöder's co-authors include Florian H. Heidel, Thomas Fischer, Manfred Schmitt, Lynne M. Roberts, Christopher P. Guise, Janet M. Lord, Robert A. Spooner, Shuyu Li, Graham Ladds and Ashok Kumar Jayavelu and has published in prestigious journals such as PLoS ONE, Nature Cell Biology and Oncogene.

In The Last Decade

Tina M. Schnöder

13 papers receiving 198 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tina M. Schnöder 112 62 55 42 31 14 199
King Pan Ng 123 1.1× 51 0.8× 22 0.4× 29 0.7× 13 0.4× 11 211
Mohamad Hasan Kariminejad 102 0.9× 52 0.8× 26 0.5× 58 1.4× 72 2.3× 13 263
Shaunna Beedie 157 1.4× 65 1.0× 37 0.7× 8 0.2× 23 0.7× 14 264
Cécile K. Lopez 148 1.3× 64 1.0× 45 0.8× 24 0.6× 15 0.5× 13 226
Monika Haubitz 157 1.4× 24 0.4× 109 2.0× 29 0.7× 13 0.4× 12 234
Agatheeswaran Subramaniam 170 1.5× 78 1.3× 55 1.0× 31 0.7× 15 0.5× 21 252
Tiancheng Fang 114 1.0× 114 1.8× 60 1.1× 46 1.1× 68 2.2× 13 291
Yanxi Sun 56 0.5× 51 0.8× 54 1.0× 26 0.6× 11 0.4× 12 201
Takako Yokomizo‐Nakano 135 1.2× 41 0.7× 33 0.6× 18 0.4× 16 0.5× 18 215
Gabriela Krivdova 92 0.8× 70 1.1× 31 0.6× 15 0.4× 13 0.4× 12 144

Countries citing papers authored by Tina M. Schnöder

Since Specialization
Citations

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

Fields of papers citing papers by Tina M. Schnöder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina M. Schnöder

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

All Works

Loading papers...

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