A Gressner

55 total papers · 706 total citations
17 papers, 546 citations indexed

About

A Gressner is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, A Gressner has authored 17 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in A Gressner's work include Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers) and Glycosylation and Glycoproteins Research (2 papers). A Gressner is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers) and Glycosylation and Glycoproteins Research (2 papers). A Gressner collaborates with scholars based in Germany, Belgium and Poland. A Gressner's co-authors include Joachim M. Gilsbach, Ilonka Kreitschmann‐Andermahr, Birgit Lahme, S Stanzel, Eray Yagmur, K Breitkopf, Carmen G. Tag, Michael Althaus, Veit Rohde and Siegfried Matern and has published in prestigious journals such as Gastroenterology, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

A Gressner

17 papers receiving 529 citations

Author Peers

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

Author						Papers	Cites
A Gressner	142	137	113	99	94	17	546
P. M. Dennis	41 0.3×	95 0.7×	52 0.5×	88 0.9×	44 0.5×	10	468
Ken Ohtsuka	52 0.4×	100 0.7×	120 1.1×	50 0.5×	125 1.3×	15	483
Pierre-Yves Martin	128 0.9×	70 0.5×	51 0.5×	105 1.1×	189 2.0×	13	530
R W Schrier	168 1.2×	31 0.2×	79 0.7×	118 1.2×	163 1.7×	17	562
Antonio Diez‐Ruiz	69 0.5×	30 0.2×	28 0.2×	166 1.7×	88 0.9×	18	536
Kyoko Okada	97 0.7×	65 0.5×	91 0.8×	137 1.4×	62 0.7×	23	521
D. Harry	77 0.5×	110 0.8×	53 0.5×	152 1.5×	76 0.8×	14	552
Pilar Molina	55 0.4×	29 0.2×	238 2.1×	95 1.0×	154 1.6×	30	602
Taiichiro Okajima	21 0.1×	99 0.7×	205 1.8×	68 0.7×	80 0.9×	22	504
G Ugolotti	92 0.6×	180 1.3×	16 0.1×	83 0.8×	55 0.6×	19	495

Countries citing papers authored by A Gressner

Since Specialization

Citations

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

Fields of papers citing papers by A Gressner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Gressner

This figure shows the co-authorship network connecting the top 25 collaborators of A Gressner. A scholar is included among the top collaborators of A Gressner 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 A Gressner. A Gressner 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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