K. J. Neis

78 total papers · 657 total citations
29 papers, 333 citations indexed

About

K. J. Neis is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Surgery. According to data from OpenAlex, K. J. Neis has authored 29 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Obstetrics and Gynecology, 15 papers in Reproductive Medicine and 6 papers in Surgery. Recurrent topics in K. J. Neis's work include Gynecological conditions and treatments (13 papers), Uterine Myomas and Treatments (12 papers) and Endometriosis Research and Treatment (11 papers). K. J. Neis is often cited by papers focused on Gynecological conditions and treatments (13 papers), Uterine Myomas and Treatments (12 papers) and Endometriosis Research and Treatment (11 papers). K. J. Neis collaborates with scholars based in Germany, United States and United Kingdom. K. J. Neis's co-authors include Felix Neis, Martin Sillem, O. Buchweitz, J. Keckstein, Karl-Werner Schweppe, G Rauter, Hans‐Rudolf Tinneberg, Marc Possover, A. E. Schindler and O Kandolf and has published in prestigious journals such as International Journal of Cancer, European Journal of Cancer and Journal of Clinical Medicine.

In The Last Decade

K. J. Neis

26 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
K. J. Neis	253	235	60	39	25	29	333
Ahmet Cem İyibozkurt	175 0.7×	200 0.9×	66 1.1×	20 0.5×	40 1.6×	34	361
Émilie Faller	218 0.9×	219 0.9×	99 1.6×	25 0.6×	36 1.4×	51	313
Peter Wurm	178 0.7×	211 0.9×	40 0.7×	63 1.6×	24 1.0×	21	315
Manuel Maria Ianieri	294 1.2×	264 1.1×	84 1.4×	26 0.7×	30 1.2×	34	375
Pier Carlo Zorzato	220 0.9×	203 0.9×	98 1.6×	17 0.4×	34 1.4×	41	331
Giulia Borghese	195 0.8×	179 0.8×	84 1.4×	21 0.5×	22 0.9×	31	333
Sachiho Netsu	170 0.7×	208 0.9×	48 0.8×	91 2.3×	50 2.0×	42	337
Claudio Gustavino	149 0.6×	151 0.6×	72 1.2×	35 0.9×	44 1.8×	31	356
Yasushi Kotani	177 0.7×	228 1.0×	72 1.2×	35 0.9×	17 0.7×	30	318
Manuela Maletta	237 0.9×	215 0.9×	39 0.7×	22 0.6×	40 1.6×	29	305

Countries citing papers authored by K. J. Neis

Since Specialization

Citations

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

Fields of papers citing papers by K. J. Neis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. J. Neis

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