J Schulze

32 total papers · 2.0k total citations
14 papers, 85 citations indexed

About

J Schulze is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, J Schulze has authored 14 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Physiology. Recurrent topics in J Schulze's work include Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Diet and metabolism studies (3 papers). J Schulze is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Diet and metabolism studies (3 papers). J Schulze collaborates with scholars based in Germany, United States and Canada. J Schulze's co-authors include Sven Fischer, S. Bornstein, Peter E. H. Schwarz, M Hanefeld, G. Towers, Francis Vasseur, Uta Schwanebeck, W. Leonhardt, M. Spengler and Ulrich Julius and has published in prestigious journals such as Hormone and Metabolic Research, Experimental and Clinical Endocrinology & Diabetes and The Professional Animal Scientist.

In The Last Decade

J Schulze

10 papers receiving 82 citations

Author Peers

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

Author						Papers	Cites
J Schulze	39	35	30	25	14	14	85
Huacong Deng	52 1.3×	23 0.7×	25 0.8×	31 1.2×	14 1.0×	11	112
Alina Kerimkulova	24 0.6×	28 0.8×	32 1.1×	17 0.7×	17 1.2×	17	90
Olga Lunegova	23 0.6×	29 0.8×	30 1.0×	18 0.7×	22 1.6×	23	93
Spyridon Savvanis	34 0.9×	57 1.6×	31 1.0×	58 2.3×	16 1.1×	14	215
Theresia Sarabhai	72 1.8×	36 1.0×	52 1.7×	41 1.6×	16 1.1×	18	215
Maritza Pérez-Mayorga	26 0.7×	11 0.3×	39 1.3×	16 0.6×	12 0.9×	10	78
Marie Merheb	14 0.4×	55 1.6×	24 0.8×	12 0.5×	11 0.8×	13	120
Carolina Aparicio	21 0.5×	27 0.8×	49 1.6×	20 0.8×	8 0.6×	11	117
Caitlyn Tan	90 2.3×	41 1.2×	20 0.7×	20 0.8×	7 0.5×	15	213
Baoying Liao	17 0.4×	33 0.9×	18 0.6×	69 2.8×	10 0.7×	13	256

Countries citing papers authored by J Schulze

Since Specialization

Citations

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

Fields of papers citing papers by J Schulze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Schulze

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

All Works

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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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