Inna Golberg

761 total citations
8 papers, 614 citations indexed

About

Inna Golberg is a scholar working on Hepatology, Biomedical Engineering and Surgery. According to data from OpenAlex, Inna Golberg has authored 8 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hepatology, 7 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Inna Golberg's work include 3D Printing in Biomedical Research (7 papers), Liver physiology and pathology (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Inna Golberg is often cited by papers focused on 3D Printing in Biomedical Research (7 papers), Liver physiology and pathology (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (5 papers). Inna Golberg collaborates with scholars based in United States and Netherlands. Inna Golberg's co-authors include O. Berk Usta, William J. McCarty, Martin L. Yarmush, Shyam Sundhar Bale, Manjunath Hegde, Abhinav Bhushan, Rohit Jindal, Ljupcho Prodanov, Ahmet Bakan and Nina Senutovitch and has published in prestigious journals such as Lab on a Chip, Biotechnology and Bioengineering and Experimental Biology and Medicine.

In The Last Decade

Inna Golberg

8 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Inna Golberg United States	8	436	252	142	135	59	8	614
Brenton R. Ware United States	10	400 0.9×	356 1.4×	248 1.7×	164 1.2×	149 2.5×	12	724
Kathryn E. Wack United States	4	481 1.1×	255 1.0×	138 1.0×	225 1.7×	22 0.4×	4	684
Dustin R. Berger United States	6	235 0.5×	215 0.9×	170 1.2×	125 0.9×	87 1.5×	11	455
Tomoko Iida Japan	12	204 0.5×	89 0.4×	191 1.3×	81 0.6×	40 0.7×	28	571
Dipali Patel United States	14	335 0.8×	120 0.5×	209 1.5×	100 0.7×	16 0.3×	16	629
R. Baudoin France	12	526 1.2×	97 0.4×	174 1.2×	109 0.8×	57 1.0×	13	698
Jiu Deng China	12	353 0.8×	90 0.4×	118 0.8×	77 0.6×	14 0.2×	22	496
Yayoi Koide Japan	8	282 0.6×	405 1.6×	123 0.9×	356 2.6×	33 0.6×	14	695
Weijie Zhao China	10	355 0.8×	72 0.3×	71 0.5×	64 0.5×	16 0.3×	18	447
Rena Bhandari United Kingdom	9	254 0.6×	189 0.8×	88 0.6×	210 1.6×	13 0.2×	13	477

Countries citing papers authored by Inna Golberg

Since Specialization

Citations

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

Fields of papers citing papers by Inna Golberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Golberg

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bale, Shyam Sundhar, Gautham Sridharan, Inna Golberg, et al.. (2015). A novel low-volume two-chamber microfabricated platform for evaluating drug metabolism and toxicity. PubMed Central. 3(4). 155–162. 12 indexed citations

2.

Usta, O. Berk, William J. McCarty, Shyam Sundhar Bale, et al.. (2015). Microengineered cell and tissue systems for drug screening and toxicology applications: Evolution ofin-vitroliver technologies. PubMed. 3(1). 1–26. 69 indexed citations

3.

Prodanov, Ljupcho, Rohit Jindal, Shyam Sundhar Bale, et al.. (2015). Long‐term maintenance of a microfluidic 3D human liver sinusoid. Biotechnology and Bioengineering. 113(1). 241–246. 164 indexed citations

4.

Bale, Shyam Sundhar, Inna Golberg, Rohit Jindal, et al.. (2014). Long-Term Coculture Strategies for Primary Hepatocytes and Liver Sinusoidal Endothelial Cells. Tissue Engineering Part C Methods. 21(4). 413–422. 72 indexed citations

5.

McCarty, William J., O. Berk Usta, Shyam Sundhar Bale, et al.. (2014). A novel ultrathin collagen nanolayer assembly for 3-D microtissue engineering: Layer-by-layer collagen deposition for long-term stable microfluidic hepatocyte culture. PubMed. 2(1). 67–74. 23 indexed citations

6.

Bale, Shyam Sundhar, Lawrence A. Vernetti, Nina Senutovitch, et al.. (2014). In vitroplatforms for evaluating liver toxicity. Experimental Biology and Medicine. 239(9). 1180–1191. 122 indexed citations

7.

Hegde, Manjunath, Rohit Jindal, Abhinav Bhushan, et al.. (2014). Dynamic interplay of flow and collagen stabilizes primary hepatocytes culture in a microfluidic platform. Lab on a Chip. 14(12). 2033–2039. 86 indexed citations

8.

Bhushan, Abhinav, Nina Senutovitch, Shyam Sundhar Bale, et al.. (2013). Towards a three-dimensional microfluidic liver platform for predicting drug efficacy and toxicity in humans. Stem Cell Research & Therapy. 4(S1). S16–S16. 66 indexed citations

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.

Explore authors with similar magnitude of impact