Ameya Harmalkar

498 total citations
9 papers, 137 citations indexed

About

Ameya Harmalkar is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Ameya Harmalkar has authored 9 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ameya Harmalkar's work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (4 papers) and Computational Drug Discovery Methods (2 papers). Ameya Harmalkar is often cited by papers focused on Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (4 papers) and Computational Drug Discovery Methods (2 papers). Ameya Harmalkar collaborates with scholars based in United States, India and Germany. Ameya Harmalkar's co-authors include Jeffrey J. Gray, Lee‐Shin Chu, Sai Pooja Mahajan, Jeffrey A. Ruffolo, Vilas G. Gaikar, Sergey Lyskov, Roshan Rao, Doris Rau, Kathy Y. Wei and Danqing Li and has published in prestigious journals such as Journal of Chemical Theory and Computation, eLife and Current Opinion in Structural Biology.

In The Last Decade

Ameya Harmalkar

8 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ameya Harmalkar United States	6	98	36	24	17	15	9	137
Hannes Ausserwӧger United Kingdom	8	147 1.5×	41 1.1×	17 0.7×	8 0.5×	3 0.2×	17	219
Sushant Kumar United States	9	135 1.4×	10 0.3×	41 1.7×	19 1.1×	3 0.2×	15	173
Adam Moyer United States	6	126 1.3×	25 0.7×	12 0.5×	10 0.6×	2 0.1×	10	172
Dirk Tänzler Germany	7	118 1.2×	22 0.6×	14 0.6×	10 0.6×	2 0.1×	10	250
Alfred Gaertner United States	6	139 1.4×	27 0.8×	26 1.1×	2 0.1×	28 1.9×	8	221
Regina Surjadi Australia	7	88 0.9×	11 0.3×	18 0.8×	6 0.4×	4 0.3×	8	195
Mireia Rosell Spain	6	122 1.2×	24 0.7×	19 0.8×	44 2.6×		8	149
Alex J. Callahan United States	5	272 2.8×	49 1.4×	25 1.0×	10 0.6×	5 0.3×	9	344
Casper A. Goverde Switzerland	5	212 2.2×	24 0.7×	43 1.8×	19 1.1×	1 0.1×	7	259
Nicolas Panel France	9	140 1.4×	18 0.5×	30 1.3×	46 2.7×		12	170

Countries citing papers authored by Ameya Harmalkar

Since Specialization

Citations

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

Fields of papers citing papers by Ameya Harmalkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ameya Harmalkar

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

All Works

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9 of 9 papers shown

1.

Harmalkar, Ameya, Sergey Lyskov, & Jeffrey J. Gray. (2025). Reliable protein–protein docking with AlphaFold, Rosetta, and replica exchange. eLife. 13. 5 indexed citations

2.

Harmalkar, Ameya, et al.. (2024). Advancing Membrane-Associated Protein Docking with Improved Sampling and Scoring in Rosetta. Journal of Chemical Theory and Computation. 20(23). 10740–10749.

3.

Harmalkar, Ameya, Sergey Lyskov, & Jeffrey J. Gray. (2024). Reliable protein–protein docking with AlphaFold, Rosetta, and replica exchange. eLife. 13. 4 indexed citations

4.

Chu, Lee‐Shin, Jeffrey A. Ruffolo, Ameya Harmalkar, & Jeffrey J. Gray. (2023). Flexible protein–protein docking with a multitrack iterative transformer. Protein Science. 33(2). e4862–e4862. 17 indexed citations

5.

Harmalkar, Ameya, Roshan Rao, Doris Rau, et al.. (2023). Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features. mAbs. 15(1). 2163584–2163584. 29 indexed citations

6.

Harmalkar, Ameya, Sai Pooja Mahajan, & Jeffrey J. Gray. (2022). Induced fit with replica exchange improves protein complex structure prediction. PLoS Computational Biology. 18(6). e1010124–e1010124. 11 indexed citations

7.

Harmalkar, Ameya, Phuong Pham, Nicholas G. Housden, et al.. (2021). Colicin-Mediated Transport of DNA through the Iron Transporter FepA. mBio. 12(5). e0178721–e0178721. 10 indexed citations

8.

Harmalkar, Ameya & Jeffrey J. Gray. (2020). Advances to tackle backbone flexibility in protein docking. Current Opinion in Structural Biology. 67. 178–186. 40 indexed citations

9.

Harmalkar, Ameya, et al.. (2018). Molecular dynamics simulation for desulphurization of hydrocarbon fuel using ionic liquids. Journal of Molecular Liquids. 264. 490–498. 21 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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