Monika A. Eiva

625 total citations · 1 hit paper
6 papers, 290 citations indexed

About

Monika A. Eiva is a scholar working on Oncology, Immunology and Reproductive Medicine. According to data from OpenAlex, Monika A. Eiva has authored 6 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 2 papers in Reproductive Medicine. Recurrent topics in Monika A. Eiva's work include Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (2 papers). Monika A. Eiva is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and CAR-T cell therapy research (2 papers). Monika A. Eiva collaborates with scholars based in United States, Israel and Japan. Monika A. Eiva's co-authors include Daniel J. Powell, Lauren Shaw, Rachel C. Lynn, Roddy S. O’Connor, Victoria Casado‐Medrano, Nicholas G. Minutolo, Gonzalo López, Takami Matsuyama, Alba Rodríguez-García and Mathilde Poussin and has published in prestigious journals such as Nature Communications, Blood and European Journal of Immunology.

In The Last Decade

Monika A. Eiva

6 papers receiving 287 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapy

2021 243 citations Alba Rodríguez-García, Rachel C. Lynn et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Monika A. Eiva United States	4	195	185	72	50	23	6	290
Takeya Masubuchi United States	6	180 0.9×	186 1.0×	99 1.4×	50 1.0×	30 1.3×	8	315
Daniel Atar Germany	6	121 0.6×	198 1.1×	67 0.9×	38 0.8×	45 2.0×	7	265
Charlotte Helena Rivas United States	3	187 1.0×	223 1.2×	63 0.9×	48 1.0×	39 1.7×	6	304
Nicholas F. Kuhn United States	6	163 0.8×	217 1.2×	101 1.4×	60 1.2×	57 2.5×	6	314
Nawid Albinger Germany	6	212 1.1×	279 1.5×	107 1.5×	39 0.8×	57 2.5×	9	349
Madison J. Kelly Australia	4	117 0.6×	157 0.8×	98 1.4×	19 0.4×	33 1.4×	7	251
Katerina Goudevenou United Kingdom	5	165 0.8×	217 1.2×	92 1.3×	23 0.5×	31 1.3×	10	298
Tamara Muliaditan United Kingdom	6	163 0.8×	179 1.0×	133 1.8×	54 1.1×	34 1.5×	6	327
Sabarinath Venniyil Radhakrishnan United States	12	112 0.6×	219 1.2×	119 1.7×	38 0.8×	38 1.7×	28	332
Gangli An China	12	257 1.3×	340 1.8×	137 1.9×	57 1.1×	58 2.5×	24	490

Countries citing papers authored by Monika A. Eiva

Since Specialization

Citations

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

Fields of papers citing papers by Monika A. Eiva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika A. Eiva

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

6 of 6 papers shown

1.

Eiva, Monika A., Fang Liu, Dalia K. Omran, et al.. (2024). CD137+ tumor infiltrating lymphocytes predicts ovarian cancer survival. Gynecologic Oncology. 184. 74–82. 5 indexed citations

2.

Kraya, Adam, Kara N. Maxwell, Monika A. Eiva, et al.. (2022). PTEN Loss and BRCA1 Promoter Hypermethylation Negatively Predict for Immunogenicity in BRCA-Deficient Ovarian Cancer. JCO Precision Oncology. 6(6). e2100159–e2100159. 9 indexed citations

3.

Cummins, Katherine D., Arjun Gupta, Ofrat Beyar‐Katz, et al.. (2022). G-CSF Mobilized Apheresis As an Alternative Source of CAR T-Cells. Blood. 140(Supplement 1). 7415–7416. 1 indexed citations

4.

Rodríguez-García, Alba, Rachel C. Lynn, Mathilde Poussin, et al.. (2021). CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapy. Nature Communications. 12(1). 877–877. 243 indexed citations breakdown →

5.

Eiva, Monika A., Dalia K. Omran, Jessica Chacon, & Daniel J. Powell. (2021). Systematic analysis of CD39, CD103, CD137, and PD‐1 as biomarkers for naturally occurring tumor antigen‐specific TILs. European Journal of Immunology. 52(1). 96–108. 30 indexed citations

6.

Eiva, Monika A., et al.. (2014). Dissection and Downstream Analysis of Zebra Finch Embryos at Early Stages of Development. Journal of Visualized Experiments. e51596–e51596. 2 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.

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