Konrad Rokicki

2.9k total citations
10 papers, 151 citations indexed

About

Konrad Rokicki is a scholar working on Political Science and International Relations, Molecular Biology and Biophysics. According to data from OpenAlex, Konrad Rokicki has authored 10 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Political Science and International Relations, 3 papers in Molecular Biology and 3 papers in Biophysics. Recurrent topics in Konrad Rokicki's work include Polish Historical and Cultural Studies (4 papers), Single-cell and spatial transcriptomics (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Konrad Rokicki is often cited by papers focused on Polish Historical and Cultural Studies (4 papers), Single-cell and spatial transcriptomics (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Konrad Rokicki collaborates with scholars based in United States, Switzerland and Australia. Konrad Rokicki's co-authors include Cristian Goina, Paul W. Tillberg, Greg Fleishman, Stephan Saalfeld, Eugene W. Myers, Mark Eddison, Karel Svoboda, Martin Weigert, Uwe Schmidt and Shengjin Xu and has published in prestigious journals such as Science, Cell and BMC Bioinformatics.

In The Last Decade

Konrad Rokicki

6 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Konrad Rokicki United States	5	74	35	31	20	16	10	151
Cristian Goina United States	3	59 0.8×	30 0.9×	31 1.0×	20 1.0×	16 1.0×	3	129
Jamien Shea United States	5	95 1.3×	45 1.3×	41 1.3×	12 0.6×	4 0.3×	7	157
Ernesto Ciabatti United Kingdom	7	162 2.2×	28 0.8×	87 2.8×	16 0.8×	35 2.2×	8	277
Janine Lützkendorf Germany	8	222 3.0×	27 0.8×	165 5.3×	11 0.6×	13 0.8×	10	344
Doug Bland United States	3	115 1.6×	19 0.5×	99 3.2×	14 0.7×	45 2.8×	3	165
Marissa Sorek Germany	2	114 1.5×	18 0.5×	98 3.2×	14 0.7×	43 2.7×	2	161
Tobias Hochstoeger Switzerland	7	100 1.4×	55 1.6×	41 1.3×	5 0.3×	9 0.6×	7	206
J.H. Driller Germany	6	143 1.9×	21 0.6×	126 4.1×	6 0.3×	9 0.6×	8	225
Richard O’Laughlin United States	8	237 3.2×	15 0.4×	14 0.5×	20 1.0×	8 0.5×	12	302
Tzu‐Lun Ohn Germany	5	86 1.2×	62 1.8×	63 2.0×	6 0.3×	74 4.6×	5	255

Countries citing papers authored by Konrad Rokicki

Since Specialization

Citations

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

Fields of papers citing papers by Konrad Rokicki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konrad Rokicki

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

All Works

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10 of 10 papers shown

1.

Gandin, Valentina, Liang-Zhong Yang, Takashi Kawase, et al.. (2025). Deep-tissue transcriptomics and subcellular imaging at high spatial resolution. Science. 388(6744). eadq2084–eadq2084. 12 indexed citations

2.

Clements, Jody, Cristian Goina, Philip M. Hubbard, et al.. (2024). NeuronBridge: an intuitive web application for neuronal morphology search across large data sets. BMC Bioinformatics. 25(1). 114–114. 13 indexed citations

3.

Lillvis, Joshua L., Hideo Otsuna, Takashi Kawase, et al.. (2022). Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy. eLife. 11. 25 indexed citations

4.

Wang, Yuhan, Mark Eddison, Greg Fleishman, et al.. (2021). EASI-FISH for thick tissue defines lateral hypothalamus spatio-molecular organization. Cell. 184(26). 6361–6377.e24. 91 indexed citations

5.

Rokicki, Konrad. (2013). Listy i skargi na działalność MSW w latach sześćdziesiątych, siedemdziesiątych i osiemdziesiątych XX wieku w analizach Biura Skarg i Listów MSW. 21(1). 83–103. 1 indexed citations

6.

Rokicki, Konrad, et al.. (2012). "Literaci : relacje między literatami a władzami PRL w latach 1956-1970", Konrad Rokicki, Warszawa 2011 : [recenzja] / Sebastian Ligarski.. Dzieje Najnowsze : [kwartalnik poświęcony historii XX wieku]. 44(4). 177–183. 2 indexed citations

7.

Rokicki, Konrad. (2012). "Język polski jest tak bogaty, giętka jest nasza mowa!". Podstawowa Organizacja Partyjna Oddziału Warszawskiego Związku Literatów Polskich i jej stosunek do polityki kierownictwa partyjnego w latach 1956–1970 / Konrad Rokicki.. 11. 135–181.

8.

Freimuth, Robert R., Mukesh Kumar Sharma, Grace A. Stafford, et al.. (2012). Life sciences domain analysis model. Journal of the American Medical Informatics Association. 19(6). 1095–1102. 7 indexed citations

9.

Rokicki, Konrad. (2007). Chrzest bojowy ZOMO. 421–431.

10.

Rokicki, Konrad, et al.. (2005). "Oblicza Marca 1968", pod red. Konrada Rokickiego, Sławomita Stępnia, Warszawa 2004 : [recenzja] / D. J.. Acta Poloniae Historica. 91.

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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