Kim Alving

21 total papers · 899 total citations
18 papers, 747 citations indexed

About

Kim Alving is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Kim Alving has authored 18 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Spectroscopy and 5 papers in Organic Chemistry. Recurrent topics in Kim Alving's work include Glycosylation and Glycoproteins Research (10 papers), Mass Spectrometry Techniques and Applications (8 papers) and Advanced Proteomics Techniques and Applications (6 papers). Kim Alving is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Mass Spectrometry Techniques and Applications (8 papers) and Advanced Proteomics Techniques and Applications (6 papers). Kim Alving collaborates with scholars based in United States, Germany and Russia. Kim Alving's co-authors include Jasna Peter‐Katalinić, Richard Smith, Mikhail E. Belov, Natasha E. Zachara, Andrew A. Gooley, Franz‐Georg Hanisch, Stefan Müller, Mary Lipton, Thomas P. Conrads and Timothy D. Veenstra and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Analytical Chemistry.

In The Last Decade

Kim Alving

17 papers receiving 726 citations

Author Peers

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

Author						Papers	Cites
Kim Alving	535	389	121	102	94	18	747
Ehwang Song	703 1.3×	431 1.1×	88 0.7×	69 0.7×	120 1.3×	20	846
Haidi Yin	567 1.1×	176 0.5×	91 0.8×	138 1.4×	64 0.7×	26	723
Yunli Hu	740 1.4×	332 0.9×	309 2.6×	76 0.7×	91 1.0×	23	854
Silvia A. Synowsky	612 1.1×	283 0.7×	48 0.4×	42 0.4×	33 0.4×	26	867
Jean‐Claude Michalski	631 1.2×	127 0.3×	240 2.0×	131 1.3×	91 1.0×	15	810
Tharmala Tharmalingam	674 1.3×	112 0.3×	134 1.1×	144 1.4×	182 1.9×	14	791
Y C Lee	493 0.9×	57 0.1×	160 1.3×	112 1.1×	111 1.2×	12	634
Christian Günther	285 0.5×	107 0.3×	215 1.8×	94 0.9×	23 0.2×	22	694
Haruna Saito	589 1.1×	323 0.8×	106 0.9×	76 0.7×	109 1.2×	15	855
Paul Russo	515 1.0×	399 1.0×	20 0.2×	44 0.4×	54 0.6×	20	910

Countries citing papers authored by Kim Alving

Since Specialization

Citations

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

Fields of papers citing papers by Kim Alving

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Alving

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