Tina Schumann

593 total citations
9 papers, 308 citations indexed

About

Tina Schumann is a scholar working on Surgery, Epidemiology and Rheumatology. According to data from OpenAlex, Tina Schumann has authored 9 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Epidemiology and 3 papers in Rheumatology. Recurrent topics in Tina Schumann's work include Systemic Lupus Erythematosus Research (3 papers), Pancreatic function and diabetes (3 papers) and interferon and immune responses (2 papers). Tina Schumann is often cited by papers focused on Systemic Lupus Erythematosus Research (3 papers), Pancreatic function and diabetes (3 papers) and interferon and immune responses (2 papers). Tina Schumann collaborates with scholars based in Germany, United Kingdom and United States. Tina Schumann's co-authors include Christine Henke, Andreas L. Birkenfeld, Diana M. Willmes, Jens Jordan, Stefan R. Bornstein, Jörg König, Martin F. Fromm, Sabine Wittmann, Werner Müller and Axel Roers and has published in prestigious journals such as Pharmacological Reviews, Anesthesiology and Frontiers in Immunology.

In The Last Decade

Tina Schumann

9 papers receiving 306 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tina Schumann Germany	6	151	98	60	58	57	9	308
Cristina Ramondetti Italy	9	136 0.9×	27 0.3×	40 0.7×	37 0.6×	31 0.5×	17	297
Toshiya Nishi Japan	13	176 1.2×	51 0.5×	35 0.6×	86 1.5×	43 0.8×	26	447
Michael Brent United States	6	283 1.9×	59 0.6×	100 1.7×	51 0.9×	44 0.8×	6	458
Annie J. Kruger United States	12	89 0.6×	74 0.8×	181 3.0×	78 1.3×	22 0.4×	20	422
Jennifer Niven United Kingdom	9	146 1.0×	122 1.2×	158 2.6×	39 0.7×	21 0.4×	10	366
Mara Marongiu Italy	7	129 0.9×	30 0.3×	19 0.3×	46 0.8×	20 0.4×	9	267
Young Li China	9	112 0.7×	63 0.6×	19 0.3×	45 0.8×	16 0.3×	13	244
Kathy Forrest United States	11	155 1.0×	122 1.2×	31 0.5×	26 0.4×	9 0.2×	14	353
Jennifer M. Reynolds United States	9	224 1.5×	27 0.3×	101 1.7×	77 1.3×	10 0.2×	12	562
Alessandra Pasquali Italy	11	126 0.8×	49 0.5×	114 1.9×	84 1.4×	33 0.6×	15	486

Countries citing papers authored by Tina Schumann

Since Specialization

Citations

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

Fields of papers citing papers by Tina Schumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Schumann

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

All Works

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9 of 9 papers shown

1.

Novák, Jan, Colin Reily, Nicholas J. Steers, et al.. (2024). Emerging Biochemical and Immunologic Mechanisms in the Pathogenesis of IgA Nephropathy. Seminars in Nephrology. 44(5). 151565–151565. 1 indexed citations

2.

Schubert, Nadja, Tina Schumann, Yan Ge, et al.. (2022). Genome Replication Is Associated With Release of Immunogenic DNA Waste. Frontiers in Immunology. 13. 880413–880413. 5 indexed citations

3.

Schumann, Tina, Jörg König, Christian von Loeffelholz, et al.. (2021). Deletion of the diabetes candidate gene Slc16a13 in mice attenuates diet-induced ectopic lipid accumulation and insulin resistance. Communications Biology. 4(1). 826–826. 14 indexed citations

4.

Schumann, Tina, Jörg König, Christine Henke, et al.. (2019). Solute Carrier Transporters as Potential Targets for the Treatment of Metabolic Disease. Pharmacological Reviews. 72(1). 343–379. 106 indexed citations

5.

Loeffelholz, Christian von, Lidia Castagneto‐Gissey, Tina Schumann, et al.. (2018). The anorexigenic peptide neurotensin relates to insulin sensitivity in obese patients after BPD or RYGB metabolic surgery. International Journal of Obesity. 42(12). 2057–2061. 14 indexed citations

6.

Willmes, Diana M., Christine Henke, Tina Schumann, et al.. (2017). The longevity gene INDY ( I 'm N ot D ead Y et) in metabolic control: Potential as pharmacological target. Pharmacology & Therapeutics. 185. 1–11. 34 indexed citations

7.

Behrendt, Rayk, Tina Schumann, Alexander Gerbaulet, et al.. (2015). Spontaneous Type I IFN response in SAMHD1-deficient mice requires both, functional intracellular RNA and DNA sensing pathways. Pediatric Rheumatology. 13(S1). 2 indexed citations

8.

Behrendt, Rayk, Tina Schumann, Alexander Gerbaulet, et al.. (2013). Mouse SAMHD1 Has Antiretroviral Activity and Suppresses a Spontaneous Cell-Intrinsic Antiviral Response. Cell Reports. 4(4). 689–696. 130 indexed citations

9.

Wilks, David, et al.. (1985). CARDIOVASCULAR EFFECTS OF TOTAL BODY HYPERTHERMIA. Anesthesiology. 63(Supplement). A2–A2. 2 indexed citations

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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